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Submit processing finished. \nVariables in the SYSTAT %s file are:This file stores data in single precision.Press ENTER �� or RETURNJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecemberMondayTuesdayWednesdayThursdayFridaySaturdaySundaySYSTAT processing finished.Input statements for this job:You are in the %s moduleSYSTAT options now in effect:File in use is\n   %sNo file is in use. \n   BY Group Variables: \n   Selection Criteria: \n   Cases are replicated by value of variable %s. \n   SYSTAT output display options are:      SYSTAT prints complete results      SYSTAT prints complete results (means and std. dev. in ANOVA)      SYSTAT prints standard results      in narrow page format, pages screen output, and displays      in narrow page format, scrolls screen output, and displays      in narrow page format, pauses for more screen output, and displays      in wide page format, pages screen output, and displays      in wide page format, scrolls screen output, and displays      in wide page format, pauses for more screen output, and displays      %ld lines per printed page, and %ld lines per file page      including %ld header lines      including %ld footer lines \n      Numeric output values print to %ld decimal places;      Underflows print in scientific notation. \n   Cases are weighted by value of variable %s. \n      SYSTAT sends output to the printer \n      SYSTAT sends output to file\n  %s \n   Last SYSTAT file saved:\n    %s   Saving SYSTAT file:\n    %s   File path for %s files: \n      SYSTAT sends output in printer format to the file\n  %s \n      SYSTAT sends output to the plotter \n      SYSTAT sends output in plotter format to the file\n  %s \n      SYSTAT sends output to the metafile\n  %s      numeric field width is set at %ld characters. \n   Case frequencies determined by value of variable %s.Please enter the SAVE file name:Enter another file name or press ENTER  �� to QUIT without saving to a fileThe file you have named already exists.
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SAVED.  If you USE this file, you will be processing
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to continue?F3-Search  F4-Replace           F6-Print  F8-Insert  F9-Begin Marking   F10-DoneF3-Search  F4-Replace           F6-Print  F8-Insert  F9-Begin Marking   F10-RunF3-Search  F4-Replace  F5-Next  F6-Print  F8-Insert  F9-Begin Marking   F10-DoneF3-Search  F4-Replace  F5-Next  F6-Print  F8-Insert  F9-Begin Marking   F10-RunF3-Srch  F4-Repl           F6-Print  F7-Del Mrkd  F8-Insrt  F9-End Mrk  F10-DoneF3-Srch  F4-Repl           F6-Print  F7-Del Mrkd  F8-Insrt  F9-End Mrk  F10-RunF3-Srch  F4-Repl  F5-Next  F6-Print  F7-Del Mrkd  F8-Insrt  F9-End Mrk  F10-DoneF3-Srch  F4-Repl  F5-Next  F6-Print  F7-Del Mrkd  F8-Insrt  F9-End Mrk  F10-RunF3-Srch  F4-Repl           F6-Print  F7-Del Mrkd  F8-Insrt  F9-Unmark   F10-DoneF3-Srch  F4-Repl           F6-Print  F7-Del Mrkd  F8-Insrt  F9-Unmark   F10-RunF3-Srch  F4-Repl  F5-Next  F6-Print  F7-Del Mrkd  F8-Insrt  F9-Unmark   F10-DoneF3-Srch  F4-Repl  F5-Next  F6-Print  F7-Del Mrkd  F8-Insrt  F9-Unmark   F10-RunSAVE CHANGES? (Y/N) YFile Name?File Name? (return for current file)File already exists. Replace existing file? (Y/N) YSubmit Marked Block as SYSTAT Commands? (Y/N) NPrint Entire File (E) or Marked Block (M)? MPlease wait -- Printing in progressCopy Marked Block (C) or Insert from File (I) ? CCopy Deleted Text (C) or Insert from File (I) ? CSearch for:Replace:With:Replace? YOptions:  B (backwards) R (Respect Case)Options:  B (backwards) R (Respect Case) S (Selective replace)BbFfRrIiSsGgYyNnCcIiEeMmNo variables match mask.NAMES mask '%s' %lf!!!!! WARNING -- FEDIT has not been fully tested.  It may
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!!!!!
!!!!!            Please proceed with caution!
!!!!!            Do you want to continue?%-50s (%ld levels)\n  %ld cases and %ld variables processed.\n  %ld cases and %ld variables processed and saved.\n  %ld cases and %ld variables extracted and saved.3333333333444444444444         666666666688888888888999999999999999999 AAAAAAAAA3333333333444444444444555555555666666666688888888888999999999999999999 AAAAAAAAA33333333444444444         666666666677777777777778888888888999999999999AAAAAAAAA33333333444444444555555555666666666677777777777778888888888999999999999AAAAAAAAA33333333444444444         66666666667777777777777888888888899999999999 AAAAAAAAA3333333344444444455555555566666666667777777777777888888888899999999999 AAAAAAAAAType EXIT at the command prompt to return to @s.Type EXIT to return\nThe name %s, which is usually a reserved word,
is used as the name of a variable.Please enter the EXTRACT file name:SYSTAT does not allow you modify a variable used in case selection.
Suggestion: make a copy of the variable, use one in case selection,
the other in transformations, etc.a temporary SYSTAT file created during processingIMPORT successfully completed.EXPORT successfully completed. \n      SYSTAT sends output to the network printer \n      SYSTAT sends output to the network plotterAccess denied; cannot save file. Press any key and enter a new file name.SYMDET A(%ld,%ld) = %12.4fPooled memory management is ON using SPSSHEAP.Pooled memory management is OFF.Pooled memory management is not available due to errors.You have entered transformations which have not been saved to a
file.  If you continue, then the transformations will be lost.
               Do you want to continue?Text in clipboard too large to paste into SYSTAT.Cannot get enough memory for this clipboard operation.You cannot enter character data in a numeric variable data cell.Unable to create a temporary file for Paste operation.Unexpected data in clipboard.Only the selected cases will be saved.End of data. Start from beginning?Search complete.You have changed data in the Editor. Do you wish to use the new value?Not enough memory to create Command Editor window.Only the selected range will be saved.Restore text to before last change?Command Editor is out of memory.Cannot write to %s.Save changes to %s.Submit just the selected range?You must enter a string to find.End of text. Start from beginning?Cannot open file %s.Error reading file %s.Document search complete.The file %s is currently busy or marked read-only.You must select variables.You must select category/factor variables.Your dependent variables have changed.  The Repeated Measures which
you set up may not apply to these new dependent variables.You must enter the number of cases.You must specify groups.You must specify a control value for the Dunnett test.You must enter the number of degrees of freedom.You must enter a complete range for FORECAST.You must enter the parameter value for the chosen method.You must enter a value for mean.File SYGBIT.DLL is missing.  SYSTAT can't work without it.File COMMDLG.DLL is missing.  SYSTAT can't work without it.]Main text window is out of memory.Cannot keep more than one dialog box open.Couldn't create the dialog box.  You are very low on free memory.Cannot get working directory.Help not available for Help Menu item.Too many variable selections to CROSS.Too many CROSSes.You are very low on memory.  Close some windows.Cannot find mpsyxp.dll.Clipboard too big. Submit a command file instead.Can't start print job.File appears to be corrupted. Continue (at your own risk)?Dialog box is not complete. Please enter more information.Cannot find DLL file %s.*** WARNING ***SYSTAT will yield to other processes.SYSTAT will NOT yield to other processes.Access is currently denied to the file:
     %s
so that data cannot be saved to that file.
The data has been saved to:
     %sThe %s command was not completed.You are currently using the BASIC module;
to open the Editor will close BASIC; any
pending work in BASIC will be lost.  Do
you want to continue and open the Editor?You are currently using the MATRIX module;
to open the Editor will close MATRIX; any
pending work in MATRIX will be lost.  Do
you want to continue and open the Editor?You are currently in the Hypothesis mode
of GLM, Regression or ANOVA.  Opening the
Editor will exit from the Hypothesis mode;
any pending statistical work will be lost.
Do you want to continue and open the Editor?YLCVHWN    DF13B6D7
XZMXVIWN   E5D33DA1
XLNYZGWN   1C75EF30
WZBXIVWN   440735E5
WVHRTMWN   732C7538
VTBKGWN    DCD3AEFA
VMABNWN    83E00E01
VHGRN      DC0C64C6
UIGUOBWN    9F161CA
TWDGIWN    18955BC1
RMHGIWN    704BBE45
RIRHWN     3FD0F690
NVOMNZWN   B9036E36
NIXFIBWN   E79611A3
HOVVKWN    E2824C40
HFMHKGWN   FEE310DD
FHWN       13AB366D
DROONHWN   4842D7E5
DLIOWWN    224B7180TRIALMEASURESYSTAT %s file %s,
created %s, contains variables:You cannot paste a variable with the same name as an existing variable.Pooled memory management is ON using internal heap management.Variable      Array name
 %+12.12s   %+12.12sWorkspace clear for creating new dataset.File in use is %s.For case# %ld, %ld numeric fields contains non-numeric information.%s
 Please wait while data are processed and resaved.SYSTAT file created.Temporary SYSTAT file created.No SYSTAT file created. 
%ld cases and %ld variables processed.Input data one case at a time after prompt arrow 
Summary statistics for latitude and longitude
You can create a command file to create this SYSTAT file automatically
     with the ????? command.
 
     ID       minlat       maxlat       minlon       maxlon%7.0ld %12lf %12lf %12lf %12lfREM Saves id, minlat, maxlat, minlon, maxlon, lablat, lablon
REM to a SYSTAT file.
SAVE %s.syd
INPUT id, minlat, maxlat, minlon, maxlon
let lablat=(minlat+maxlat)/2
let lablon=(minlon+maxlon)/2
RUN~
NEWThe input file contains %ld non-numeric fields where numbers are expected.A SYSTAT temporary file is active.Begin standardizeEnd standardizeBegin transposeEnd transposeAppending file %s.WARNING: The following bugs exist in this version of DATA
 
      SAVE must be stated before a RUN is issued.
 
      BASIC programs will execute only if USE or REPEAT is stated. Case number * Case ID * BASIC statements cleared.You MUST have the STROKE.FNT file installed in
your current directory or in the \SYSTAT
directory before starting GRAPH.Supported equipment includes:All other equipment requires device drivers.GRAPH output modes are:   VIDEO:       %s   PLOTTER:     %s   PRINTER:     %s   CAMERA:      %s   METAFILE:    %s                Output Mode:     %s                Output Device:   %s                Height:          %s                Width:           %s                Page Preview of: %s                Orientation:     %s                Horizontal Resolution: %s                Vertical Resolution  : %s                Film Number:           %sDirectBIOSLPT1:COM1:File PRN:AUX:cminpointsPortraitLandscapeOf %ld cases, %ld were excluded by making graph range less than data range.Of %ld cases, %ld were excluded by logging or powering negative values.Index of CaseDegreesDistanceLongitudeIndex of VariableExpected Value forExpected Fraction of Data forStandardized ResidualFourier ComponentsLatitudeFraction of DataCountProportion per BarDensityProportion per UnitCumulative DensityValueTrialMeasurePercentREDBLUEGREENYELLOWORANGEBROWNGRAYVIOLETWHITEBLACKDistributionUniformNormalFChi-squareGammaBetaExponentialLogisticStudentized rangeWeibullBinomialPoissonPearson r Influence                Connected via a networkMetafile output is being saved to the file:
     %sGraph Tool HelpUse cursor keys to move text, Escape or F10 when doneGSAVE successfully completed.WARNING: There are too many cases to calculate medians.You could choose fewer variables, or reduce the frequencies.You could reduce the frequencies.You could choose fewer variables.Statistics have been saved.WARNING: There are too many cases to plot stem and leaf diagrams.Not enough cases for graph.Stem and Leaf Plot of variable: %12s, N = %ld%ld cases with missing values excluded from plot.  %12.12s   %s         Minimum: %s         Lower hinge: %s         Median:  %s         Upper hinge: %s         Maximum: %s\n       * * * Outside Values * * *Summary statistics for: %sBartlett test for homogeneity of group variances = %sApproximate F = %-12s df = %3ld,%7ld Probability = %-12sBartlett test for homogeneity of group variances
Chi-square = %-12s df= %3ld Probability = %-12sOverall mean = %-12s Standard deviation = %-12s
Pooled within groups standard deviation = %-12s
T statistic = %-12s Probability = %-12sANALYSIS OF VARIANCE
Source         Sum of Squares  df  Mean Square        F    Probability
Between Groups   %-12s%4ld %-12s%-12s%-12s
Within groups    %-12s%4ld %-12sMatrix of Pairwise Absolute Mean DifferencesTukey HSD Multiple ComparisonsMatrix of Pairwise Comparison ProbabilitiesAlpha = %-12s
Critical Range for Pairs of Means = %-12sCounts per group are not equal. Cannot do test.One or more of your groups has no variance.   Number of cases: %ldWARNING: There are too many variables to save to a SYSTAT
file.  Statistics for the last variable in your original
SYSTAT file cannot be included.WARNING: Using the aggregate save, there are too many variables
to save to a SYSTAT file.  Statistics for only the first %ld variables
in your analysis will be saved to the file.STATISTC$NUMIMARASUMDMECUCLSESDVACVSKESKUEKN of casesMinimumMaximumRangeSumMedianMean  % CI Upper  % CI LowerStd. ErrorStandard DevVarianceC.V.Skewness(G1)SE SkewnessKurtosis(G2)SE Kurtosis\n  Cronbach's alpha (on %ld variables, %ld cases) = %lf\n   COUNT    ESTIMATE    RESIDUAL    \nTable has been saved. Values for %s %s (rows) by %s (columns) %s (rows) by %s (columns) for:\nFrequencies\nPercents of total count\nRow percents\nColumn percents\nExpected values\nDeviates: (Observed-Expected)\nStandardized deviates: (Observed-Expected)/SQR(Expected)\n %ld percent approximate confidence intervals scaled as cell percentsTable is empty   Total       N     Total        N   Total     TotalTotalNNo non-missing values to tabulate 
WARNING: More than one-fifth of fitted cells are sparse (frequency < 5).
         Significance tests computed on this table are suspect.Test statistic                         Value          df           Prob  Pearson Chi-square            %12.12s%12.12s   %12.12s  Likelihood ratio Chi-square   %12.12s%12.12s   %12.12s  McNemar Symmetry Chi-square   %12.12s%12.12s   %12.12s  Yates corrected Chi-square    %12.12s%12.12s   %12.12s  Fisher exact test (two-tail)                             %12.12s\nCoefficient                            Value       Asymptotic Std Error  Phi                           %12.12s  Cramer V                      %12.12s  Contingency                   %12.12s  Goodman-Kruskal Gamma         %12.12s        %12.12s  Kendall Tau-B                 %12.12s        %12.12s  Stuart Tau-C                  %12.12s        %12.12s  Yule Q                        %12.12s        %12.12s  Yule Y                        %12.12s        %12.12s  Cohen Kappa                   %12.12s        %12.12s  Spearman Rho                  %12.12s        %12.12s  Somers D    (column dependent)%12.12s        %12.12s  Lambda      (column dependent)%12.12s        %12.12s  Uncertainty (column dependent)%12.12s        %12.12s  Mantel-Haenszel Chi-square =%12.12s Probability =%12.12s \nModel was fit after %ld iterations. \nWARNING: More than one-fifth of fitted cells are sparse (frequency < 5).
The following significance tests are suspect. \nTest of fit of model
   Degrees of Freedom = %ld   Pearson Chi-square =          %10.2f    Probability = %6.3f   Pearson Chi-square =          %10.2f    Probability is undefined   Likelihood ratio Chi-square = %10.2f    Probability = %6.3f   Likelihood ratio Chi-square = %10.2f    Probability is undefined   Raftery BIC = %10.2f
   Index of Dissimilarity = %10.2f\n                Cum          Cum
     Count     Count   Pct   Pct%s          %12.12s = %s  Mantel-Haenszel statistic  =%12.12s  Odds Ratio                    %12.12s
  Ln(Odds)                      %12.12s        %12.12s  Cochran's Linear Trend        %12.12s%12.12s   %12.12s  %s%9ld%s%9.2lf%9ld%s%21ld%s%12.2lf%s%9ld%s%12ld%s%12ld \n\nFriedman Two-Way Analysis of Variance Results for %.0lf cases. \n\n  Variable        Rank Sum\n  %12.12s%12s \n\nFriedman Test Statistic = %sKendall Coefficient of Concordance = %sProbability is %s assuming Chi-square distribution with %.0lf dfInsufficient data to compute test \nKolmogorov-Smirnov One Sample Test using uniform distribution \n  Variable       N-of-Cases      MaxDif  Probability (2-tail)\n \n  Variable       N-of-Cases      MaxDif  Lilliefors Probability (2-tail)\n  %s contains an illegal nonmissing value \nKolmogorov-Smirnov Two Sample Test results  Maximum differences for pairs of variables  Maximum differences for pairs of groups  Two-sided probabilities \nKruskal-Wallis One-Way Analysis of Variance for %ld casesDependent variable is %s Grouping variable is %s \n    Group       Count   Rank Sum\nNot enough groups for analysis  %12.12s %5ld%12.12sMann-Whitney U test statistic = %sProbability is %sChi-square approximation = %s with %ld df \nKruskal-Wallis Test Statistic = %sProbability is %s assuming Chi-square distribution with %ld df \nWald-Wolfowitz runs test using cutpoint = %s                                                                   Probability Variable    Cases LE Cut  Cases GT Cut   Runs         Z              (2-tail)\n %12.12s%8.0lf      %8.0lf    %6.0lf  %12.12s      %12.12s \n\nSign test results \n  Counts of differences (row variable greater than column) \n\n  Two-sided probabilities for each pair of variables \n\nWilcoxon Signed Ranks Test Results\n  Counts of differences (row variable greater than column) \n\n  Z = (Sum of signed ranks)/square root(sum of squared ranks) \n\n  Two-sided probabilities using normal approximation   %12.12s%12.12s%12.12s   %12.12s              %s \nKolmogorov-Smirnov One Sample Test using Uniform(%.2lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using Normal(%.2lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using t distribution with %.0lf df \nKolmogorov-Smirnov One Sample Test using F distribution with %.0lf and %.0lf df \nKolmogorov-Smirnov One Sample Test using Chi-square distribution with %.0lf df \nKolmogorov-Smirnov One Sample Test using Gamma(%.2lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using Beta(%.2lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using Exponontial(%.2lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using Logistic(%.2lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using Studentized-range(%.0lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using Weibull(%.2lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using Binomial(%.0lf,%.2lf) distribution \nKolmogorov-Smirnov One Sample Test using Poisson(%.2lf) distribution\nSum of squares and cross products\n\nCovariance matrix\n\nPearson correlation matrix\n\nNormalized Euclidean distances\n\nCity block distances\n\nQSK -- Quantitative Symmetric similarity coefficients\n\nBray-Curtis similarity coefficients\n\nTetrachoric correlations\n\nS2 (Russell and Rao) binary similarity coefficients\n\nS3 (Jaccard) binary similarity coefficients\n\nS4 (simple matching) binary similarity coefficients\n\nS5 (Anderberg) binary similarity coefficients\n\nS6 (Rogers and Tanimoto) binary similarity coefficients\n\nS7 (Sorensen, Dice and Czekanowski) binary similarity coefficients\n\nS8 (Sneath and Sokal) binary similarity coefficients\n\nSpearman correlation matrix\n\nGamma coefficients matrix\n\nMU2 coefficients matrix\n\nKendall Tau-B coefficients matrix\n\nNumber of observations: %ld\n\nPairwise frequency table\n\nMeans of variables of non-outlying cases\nEM estimate of means\nBartlett Chi-square statistic: %9.3lf df=%ld Prob=%6.3lf\nMatrix of Bonferroni Probabilities\n\nMatrix of Dunn-Sidak Probabilities\n\nMatrix of Probabilities\nMatrix has been saved.\nThese %ld outliers are identified:
     Case      Distance
------------ ------------\nNo outliers are identified.\nThe HADI option is only available LISTWISE.
The PAIRWISE option is ignored.The number of cases is too few compared to the number of variables
( NC <= 3*NV+1 ).At "STEP 0"  (see A. Hadi's paper), all of the variables in the basic
subset of cases have zero variance.The following variables are either redundant or have zero variance
on non-outlying cases:%12.12s %12.5lf          %ld  %s\nEM Algorithm   Iteration   Maximum Error   -2*log(likelihood)
               ---------   -------------   ------------------               %6ld     %12lf       %12lfNOTE: Case %s is an outlier. Mahalanobis D^2=%lf  z=%lf\n No.of  Missing value patterns
 Cases  (X=nonmissing; .=missing)%5ld   %s\n Little MCAR test statistic: %12.3lf  df =%6ld  prob =%6.3lf\nHADI estimated sum of squares and cross products\n\nHADI estimated covariance matrix\n\nHADI estimated correlation matrix\n\nEM estimated sum of squares and cross products\n\nEM estimated covariance matrix\n\nEM estimated correlation matrix\n\nMeansFor variable %s the binary values are %lf and %lf.Maximum number of iterations exceeded.  Current estimates suspect.Group classification function coefficientsGroup classification constants
 Canonical scores have been saved.ERROR: Canonical scores have not been saved.ERROR:\n%s was not identified in the CATEGORY command.not usedCould not find effect. Please check spelling and enter again. The
CONSTANT cannot be stepped in and out of the model. 
Null hypothesis contrast ABC'-D
  
Null hypothesis contrast ABC'
  
Null hypothesis contrast AB
  
Null hypothesis contrast AB-D
  
                       -1
Inverse contrast A(X'X)  A'
  
                                                    -1   -1
Hypothesis sum of product matrix  H = (AB-D)'(A(X'X)  A')  (AB-D)
  
                                                      -1   -1
Hypothesis sum of product matrix  H = (ABC'-D)'(A(X'X)  A')  (ABC'-D)
  
                                                  -1   -1
Hypothesis sum of product matrix  H = CB'A'(A(X'X)  A')  ABC'
  
                                                 -1   -1
Hypothesis sum of product matrix  H = B'A'(A(X'X)  A')  AB
  
Error sum of product matrix   G = CE'EC'
  
Error sum of product matrix G = E'E
 %ld case(s) deleted due to missing data.Number of cases processed: %ldDependent variable means
  
The following effects have lost degrees of freedom.
 
                               Initial  Lost  Final
Effect                              df    df     df                                  -1
Regression coefficients  B = (X'X)  X'Y                               -1
Estimates of effects  B = (X'X)  X'Y 
Repeated measures factors and levels
                 Dependent VariablesWithin factor  %s%s      Standardized regression coefficients
 Standardized estimates of effects
 Total sum of product matrix
 Residual sum of product matrix  E'E = Y'Y-Y'XB
 Residual covariance matrix  S
                             Y.X
 Residual correlation matrix  R
                              Y.X
  
Multiple correlations
  
Squared multiple correlations
           2        2
Adjusted R = 1-(1-R )*(N-1)/df, where N = %ld, and df = %ld 
Eigenvalues of unit scaled X'X
  
Condition indices
  
Variance proportions
  
Dep Var: %s   N: %ld   Multiple R: %s   Squared multiple R: %s
  
                               -1
Estimates of effects  B = (X'X)  X'Y
 Adjusted squared multiple R: %s   Standard error of estimate: %s
 Effect         Coefficient    Std Error     Std Coef Tolerance     t   P(2 Tail)
 %+13.13s %+12.12s %+12.12s %+12.12s %+9.9s %+8.8s %+8.8s 
 
Correlation matrix of regression coefficients
  
                             Analysis of Variance
 
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
 Regression          %+12.12s %5ld %+12.12s%+12.12s%+12.12sResidual            %+12.12s %5ld %+12.12s%+19.19s %+12.12s %5ld %+12.12s%+12.12s%+12.12s 
Error               %+12.12s %5ld %+12.12s
 Test of Hypothesis
        Source       SS        df       MS              F              P
 Source           SS          df           MS              F              P
   Hypothesis %+12.12s%6ld %+12.12s   %+12.12s   %+12.12sHypoth  %+12.12s%12ld %+12.12s   %+12.12s   %+12.12s  Error      %+12.12s%6ld %+12.12s
 Error   %+12.12s%+12.12s %+12.12s
  
Single Degree-of-Freedom Polynomial Contrasts
 
      Degree       SS        df       MS              F              P 
Univariate F Tests
 
     Effect         SS        df       MS              F              P
 %12ld %+12.12s%6ld %+12.12s   %+12.12s   %+12.12s%+12.12s %+12.12s%6ld %+12.12s   %+12.12s   %+12.12s 
Univariate Repeated Measures F-Test
  
Multivariate Test Statistics
            Wilks' Lambda =%+12.12s             F-Statistic =%+12.12s   df =%4ld,%4ld      Prob =%+12.12s
             Pillai Trace =%+12.12s  Hotelling-Lawley Trace =%+12.12s                   THETA =%+7.7s S =%3ld, M =%4.1f, N =%5.1f Prob =%+12.12s 
Test of Residual Roots
   Roots %ld through %ld
    Chi-Square Statistic =%+12.12s     df = %ld
 Canonical Correlations
 Dependent variable canonical coefficients standardized
by conditional (within groups) standard deviations
 Dependent variable canonical coefficients standardized
by sample standard deviations
 Canonical loadings (correlations between conditional
dependent variables and dependent canonical factors)
 Canonical loadings (correlations between dependent
variables and dependent canonical factors)
 Rotated canonical loadings on first %ld factors
 Sorted rotated loadings on first %ld factors
 Rotated standardized canonical coefficients
 Correlations between rotated dependent variable canonical factors
and independent variable canonical factors (rotated canonical correlations)
 Principal components computed on then following hypothesis
sum of product matrix
 Principal components computed on the following error sum of product matrixPrincipal components computed on the following hypothesis covariance matrixPrincipal components computed on the following error covariance matrixPrincipal components computed on the following hypothesis correlation matrixPrincipal components computed on the following error correlation matrixLatent rootsLoadingsRotated loadings on first %ld principal componentsSorted rotated loadings on first %ld principal components
(loadings less than .25 made 0.)Error sum of product matrix G = E'E|Hypothesis estimate|=%+12.12s SE= %+12.12s
 A Matrix
 C Matrix selects dependent variables %ld through %ldC Matrix
 D Matrix
 Null hypothesis value for DCOL/%3ld %sALPHA option ignored. It is no longer needed for any test.Using least squares means.Using weighted means.Using unweighted means.Using least squares means.Post Hoc test of %sDunnett Test with control = %sCells fall within the following values:%+12.12s=%s 
Effect         Coefficient    Lower   <%3.0lf%>   Upper
 !MISSING!   Cell means and standard deviations.Adjusted least squares means.Least squares means.                                   Mean           SD      N                           Adj. LS Mean           SE      N                                LS Mean           SE      N%+12.12s=%+12.12s%+12.12s=%+12.12s N of Cases = %s
   Mean           %s  Adj. LS Mean   %s  LS. Mean       %s  Stand. Dev.    %s  SE             %s  %+12.12s=%+12.12s %+12.12s %+12.12s %+7.7sBetween Subjects
----------------
 
Source             SS        df       MS              F              P
 %+13.13s %+12.12s %6ld %+12.12s %+12.12s %+12.12sError         %+12.12s %6ld %+12.12s
  
Within Subjects
---------------
 Source               SS       df          MS         F       P      G-G     H-F
 Source                  SS     df           MS      F               P          G-G           H-F
 %+13.13s %+12.12s %6ld %+12.12s %+9.9s %+7.7s %+7.7s %+7.7s%+13.13s %+12.12s %6ld %+12.12s %+12.12s %+12.12s %+12.12s %+12.12s 
Greenhouse-Geisser Epsilon: %+12.12s
Huynh-Feldt Epsilon       : %+12.12s 
Single Degree of Freedom Polynomial Contrasts
--------------------------------------------- 
Polynomial Test of Order 1 (Linear)
  
Polynomial Test of Order 2 (Quadratic)
  
Polynomial Test of Order 3 (Cubic)
  
Polynomial Test of Order %ld
 Source                SS        df       MS              F              P
 %+13.13s %+12.12s %6ld %+12.12s   %+12.12s   %+12.12s 
Multivariate Repeated Measures Analysis
 Test of: %+12.12s       Hypoth. df  Error df      F            P  Wilks' Lambda=%+12.12s %6ld     %6ld %+12.12s %+12.12s  Pillai Trace =%+12.12s %6ld     %6ld %+12.12s %+12.12s  H-L Trace    =%+12.12s %6ld     %6ld %+12.12s %+12.12s  Theta        =%+7.7s S =%3ld, M =%4.1f, N =%5.1f P =%+12.12sUnivariate and Multivariate Repeated Measures Analysis
 Univariate Repeated Measures Analysis 
****************************
* Between Subjects Effects *
**************************** 
***************************
* Within Subjects Effects *
***************************    -------------------------------
    + Trials Factor: %+12.12s +
    -------------------------------     -------------------------
     + Trials Interaction Of +     +       %+12.12s    +     ------------------------- 
Effects coding used for categorical variables in model. 
Dummy coding used for categorical variables in model. 
Durbin-Watson D Statistic %9.3f
First Order Autocorrelation %7.3f 
Residuals have been saved.Coefficients have been saved.Adjusted estimates have been saved.Partial residuals cannot be saved with multivariate designs.Residuals have not been saved due to errors.Using model MSE of %.3f with %ld df.Using MSE of %.3f with %ld df.Using separate variances error terms.ERROR command ignored.Matrix of mean differences from control:Matrix of pairwise mean differences:
  
Scheffe Test. 
Dunnett One Sided Test. 
Dunnett Two Sided Test. 
Bonferroni Adjustment. 
Tukey HSD Multiple Comparisons. 
Fisher's Least-Significant-Difference Test. 
Games-Howell Test.Probabilities scaled for %ld comparisons.Matrix of pairwise comparison probabilities:
 orphan line hereContrasting using weighted means.Contrasting using unweighted means.Using separate variances estimate for error term.Dependent Variable %+12.12s
Minimum tolerance for entry into model = %.6fForward stepwise with Alpha-to-Enter=%.3lf and Alpha-to-Remove=%.3lf
 Backward stepwise with Alpha-to-Enter=%.3lf and Alpha-to-Remove=%.3lf
 Forward stepwise with first %ld variables forced in model.Backward stepwise with first %ld variables forced in model.Alpha-to-Enter=%.3lf and Alpha-to-Remove=%.3lf Max # steps= %ldStep # %ld R = %6.3lf R-Square = %6.3lf              %sTerm entered: %sTerm removed: %s 
Effect            Coefficient   Std Error  Std Coef    Tol.  df       F     'P'
 Out               Part. Corr.
___In
___  1 Constant%3ld %+13.13s %+11.11s %+11.11s %+9.9s %+7.7s %3ld %+7.7s %+7.7s    noneStepping cannot continue due to errors.
Check for collinearity or zero Mean Square Error.
Do all categorical variables appear in the CATEGORY command?The subset model includes the following predictors:Ho: All means equal. 
                        Weighted Means Model 
                      Unweighted Means Model 
                       Analysis of Variance
 
 
Source       Sum-of-Squares   df  Mean-Square     F-ratio       PModel         %+12.12s %5ld %+12.12s%+12.12s%+12.12s%+13.13s %+12.12s %5ld %+12.12s%+12.12s%+12.12sError         %+12.12s %5ld %+12.12s
 Hypothesis.
 Error sum of product matrix G = E'ETest for effect called:     %s                            %s                        andFactoring Hypothesis MatrixFactoring Error MatrixUnweighted Means ModelModel contains no constantWeighted Means Model
 Means Model
 Assuming Mixture Model
 CONSTANTGRAND_MEANFACTORDISTANCEPROB        CONSTANT    ESTIMATE    RESIDUAL    LEVERAGE    COOK        STUDENT     SEPRED      YPARTIAL    XPARTIAL    CONSTANT    !<missing>!ROW %s      Effect %ld lost %ld degree(s) of freedom.      Sum-of-Squares Table
Effect                       SSQ
 %+30.30s %+12.12sNothing to do!No contrast was given with SPECIFY. The syntax for the specify
command is as follows:
   SPECIFY/SEPARATE POOLED WITHIN BETWEEN LSMEAN,
        [constrast df 1; contrast df 2; etc..]Forward stepwise regression with F-to-Enter=%.3lf and F-to-Remove=%.3lfBackward stepwise regression with F-to-Enter=%.3lf and F-to-Remove=%.3lfF-to-Enter=%.3lf and F-to-Remove=%.3lf Max # steps= %ldGames-Howell Multiple Comparisons.        Unable to enter effect %ld.
This effect may fail tolerance checks.
 GROUP       PREDICT     Plot of Residuals against Predicted Values 
The following effects have tolerance below %s.
 
Effect                            ToleranceCase %s has large leverage   (Leverage = %s)Case %s is an outlier        (Studentized Residual = %s)Case %s has large influence  (Cook distance = %s)SE          SD          Least Squares MeansCell Means 
No graphs are printed for effects containing more than three factors.
 The %s
command invalidates hypothesis testing.
Hypothesis testing has been cleared.Scree PlotNumber of FactorsEigenvalueFactor Loadings PlotMatrix to be factoredCorrelation matrixCovariance matrixSingular matrix.Initial communalities are maximum absolute correlations or covariances.Initial Communality EstimatesIterative Principal Axis Factor Analysis: Convergence = %s.\nIterative Maximum Likelihood Factor Analysis: Convergence = %s.\n   The maximum number of factors for your data is %.0lf.\n   Iteration  Maximum Change in     Number   SQRT(communality)   Iteration  Maximum Change in   Negative log of     Number   SQRT(uniqueness)      Likelihood%8.0lf %18.6lf %18.6lf%8.0lf %18.6lf*** WARNING ***\n\nMaximum number of iterations reached.\nFinal Communality EstimatesCanonical Correlations \nLatent Roots (Eigenvalues)Empirical upper bound for the first Eigenvalue = %s.Inferential Statistics Unavailable: Sample Size Missing.Asymptotic 95% Confidence Limits for the Eigenvalues, N = %.0lf.      Upper Limits:      Lower Limits:Unbiased Estimates of Population EigenvaluesUnbiased Estimates of Standard Errors of Eigenvalues \nChi-Square Test that all Eigenvalues are Equal, N = %.0lf \nChi-Square Test that the Last %.0lf Eigenvalues Are Equal \nLatent Vectors (Eigenvectors)Standard Error for Each Eigenvector ElementComponent loadingsFactor patternVariance Explained by ComponentsVariance Explained by FactorsPercent of Total Variance ExplainedRotated Loading Matrix (%s Gamma = %s)Rotated Pattern Matrix (%s Gamma = %s)"Variance" Explained by Rotated Components"Variance" Explained by Rotated FactorsPercent of Common Variance ExplainedDirect and Indirect Contributions of Factors To VarianceCorrelations among Oblique Factors or ComponentsRotated Structure MatrixDifferences: Original Minus Fitted Correlations or CovariancesChi-square Test that the Number of Factors is %.0lf     CSQ =%s     P =%s      df = %s  CSQ =%s    P =%s      df = %sEigenvectors are not available for MLA. Nothing was saved.Eigenvectors are not available after rotation. Nothing was saved.Factor scores for a common factor model are indeterminate.
Nothing was saved.A triangular matrix was input. Nothing was saved.PC scores are unavailable after rotation. Nothing was saved.Coefficients for Standardized Factor ScoresStandardized scores have been saved.Unstandardized principal component scores have been saved.Residuals have been saved.Loadings have been saved.Coefficients have been saved.Eigenvectors have been saved.FACTORTSQUAREQPROBL$Distances have been saved.Configuration has been saved.Root mean squared residuals for each point
 
Variable         Residual%-12s %12.5fResiduals have been saved.\nMonotonic Multidimensional Scaling\nLinear Multidimensional ScalingThere are %ld replicated data matricesDimensions are weighted separately for each matrixThe data are rectangular (lower corner matrix)Fitting is split between data matricesFitting is split between rows of data matrixMinimizing Kruskal STRESS (form 1) in %ld dimensionsMinimizing Guttman/Lingoes Coefficient of Alienation in %ld dimensionsMinimizing Young SSTRESS in %ld dimensionsPower (Minkowski) constant = %7.3f\nInitial configuration\nIteration      STRESS
---------      ------\nIteration  Alienation
---------  ----------\nIteration     SSTRESS
---------     -------Maximum iterations reached before convergence.\nCoordinates in %ld dimensions
Variable           Dimension
--------           ---------\nMatrix Weights
Matrix    Stress    RSQ     Dimension
------    ------    ---     ---------Row Fit Measures
   Row       Stress    RSQ
   ---       ------    ---                                       Dimension %ld%5ld     %11.6fDIMDATADISTDHATRESIDUALROWCOLAlienation of final configuration is: %.5fStress of final configuration is: %.5fProportion of variance (RSQ) is: %.5fShepard DiagramDimension-1Dimension-2Dimension-3Dimension-4Dimension-5Insufficient available memory to save residuals.
%.0lf bytes more memory were required.The data are analyzed as dissimilaritiesThe data are analyzed as similaritiesDistancesConfigurationL$RowLogarithmic regression functionPower regression function, where Dissimilarities=a*Distances^pEstimated exponent for power regression is: %.5fMinimizing PSTRESS (STRESS with DIST and DATA exchanged) in %ld dimensions\nIteration     PSTRESS
---------     -------Summary statistics for %ld clusters on standardized dataSummary statistics for all cases on standardized dataSummary statistics for all casesSummary statistics for %ld clusters Variable       Between SS  df    Within SS  df      F-ratioCluster %ld of %ld contains %ld cases
         Members                                    Statistics
     Case      Distance  |  Variable       Minimum      Mean   Maximum   St.Dev.                         |  Variable       Minimum      Mean   Maximum   St.Dev.** TOTAL ** Variable           Sum    Chi-squareCluster %ld of %ld contains %ld cases
         Members                                  Statistics
     Case      Distance  |  Variable      Minimum     Sum   Maximum  Chi-sq.                         |  Variable      Minimum     Sum   Maximum  Chi-sq. \n\nLegend\n                    > Blank \n? = Missing data or zero \nDistance metric is normalized percent disagreement \nDistance metric is 1-Gamma coefficient \nDistance metric is 1-Pearson correlation coefficient \nDistance metric is 1-(correlation square) \nDistance metric is Euclidean distance \nDistance metric is Minkowski distance \nDistance metric is Chi-square \nDistance metric is Phi-square \nDistance metric is MW (minimum within sum-of-squares)Single linkage method (nearest neighbor)Complete linkage method (farthest neighbor)Centroid linkage methodAverage linkage methodMedian linkage methodWard minimum variance methodThere is no variation in your data.Cluster TreeDissimilaritiesDistancesJoining distances are not monotonically increasing.
No horizontal distance scale used for this tree.Additive TreePermuted Data MatrixCluster Profile PlotsCorrelations converted to distances between 0 and 2, where d=(1-r)Similarity data rescaled to positive distances, where d=s(max)-s(i)CLUSTERCluster identifiers have been saved.%12ld %s             %s              %s %12ld %s%20.3g 
k-means splitting cases into %ld groupsCluster Parallel Coordinate Plots 
Similarities linearly transformed into distances.%s needed to make distances positive.Triangle inequality already satisfied.%s added to satisfy triangle inequality. 
Stress formula 1     = %+12.12s
Stress formula 2     = %+12.12s
r(monotonic) squared = %+12.12s
r-squared (p.v.a.f.) = %+12.12s
 (changing root node from: %ld to: %ld)%4ld %+12.12s 
Variance of distances from root to leaves = %9.4lf.Additive trees clustering 
Node       Length       Child
 %4ld %+12.12s           %12.12s%4ld %+12.12s %4ld,%4ld 
Distance of each node from the root
Node Height%4ld %+12.12sMatrix element row %s, column %s is missing. 
                              Raw Data
  
                     Transformed Data Distances
  
                           Model Distances
  
                         Residual Distances
  
Node  Score
-----------Checking %ld quadruples. 
Cluster      and  Cluster        Were joined   No. of members
containing        containing     at distance   in new cluster
------------      ------------   ------------  --------------%12.12s      %12.12s   %12.12s   %10ldRNODE1RNODE2RDISTRLABEL$CNODE1CNODE2CDISTCLABEL$ \nSeries is smoothed. \nSeries is cleared. \nSeries is transformed. \nAdjust series for a seasonal periodicity of %ld. \nSeries originates at: %ld. Periodicity: %ld. First Period: %ld.\n \nSeasonal indices for the series are:\nSingular Hessian. Standard errors not computable.Final value of MSE is %sIndex   Type    EstimateIndex   Type    Estimate       A.S.E.        Lower  <95%> UpperAsymptotic correlation matrix of parameters \n%s copied from SYSTAT file into active work area\n\nSmooth location parameter with coefficient = %.3lfLinear trend with smoothing coefficient = %.3lfPercentage growth trend with smoothing coefficient = %.3lfAdditive seasonality with smoothing coefficient = %3fMultiplicative seasonality with smoothing coefficient = %.3lf \nInitial values \nInitial smoothed value =  %sInitial trend parameter = %s \nFinal values \nSeasonal indices for the series are:\n \nFinal smoothed value = %sFinal trend parameter = %s \nWithin series MSE = %s, SE = %s \n    Obs      Forecast\nForecast MSE = %s SE = %s \n\n                 Forecast Values
 Period          Lower95     Forecast      Upper95Iteration  Sum of Squares  Parameter valuesSeries has been truncated to %ld nonmissing cases \n\nFourier components of %s\n
Index Frequency      Real    Imaginary    Magnitude        Phase   Periodogram \n\nReal series\n
Index        ValueFile has been saved and closedSeries PlotAutocorrelation PlotPartial Autocorrelation PlotCross Correlation PlotCorrMissing values at end of series have been removed.Series truncated at first missing value.Missing values in middle of series interpolated by local quadratic smoothing.By group information has been cleared. No BY groups are in effect.The BY command is invalid in SERIES.REALIMAGRESIDUALFORECASTSMOOTHTRANSFRESIDUALLagPeriodogramSquared MagnitudeFrequencyThe raw data cannot be saved with this procedure.\nSeries data buffer is cleared.
Results of previous time series transfromations
(if any) are no longer in memory.
Original data will be used.\n\nConfidence interval information has been saved.
To view the Confidence Interval Plot:  SUBMIT %sSaving approximate confidence regions. This takes time.You must have at least two parameters to save a response surface.You must have at least two parameters to save confidence regions.\nResiduals have been saved.\nResponse surface information has been saved.
To view the Respose Surface Plot:  SUBMIT %s\nThe approximate %.2f\% confidence regions information have been saved.
To view the Approximate Confidence Region Plot:  SUBMIT %s\nData, estimates and residuals have been saved.\n IterationAnalysis of the effect of fixing parameter(s)Source      Sum-of-squares    df  Mean-square      F-value   p(F-value)\n%8s robust regression:   %.0f cases have positive psi-weights
                              The average psi-weight is %.5fZero weights, missing data or estimates reduced degrees of freedom    Source   Sum-of-Squares    df  Mean-SquareStandard Errors of Parameters are rescaled \n                                                      Wald Confidence IntervalParameter         Estimate       A.S.E.    Param/ASE        Lower <%3.0f%> Upper \nAsymptotic Correlation Matrix of Parameters No.      Loss      %s                 %s \nDependent variable is %s\nFinal value of loss function is %sParameter fix %12s %5ld %12s %12s %12s Residual     %12s %5ld %12s       Loss when all parameters are free %s     Loss when some parameters are fixed %s Difference: Effect of fixing parameters %s                 Relative change in loss %s \nConfidence profile computation -- for %s        Value      %5s        AlphaThe Standard Errors of Parameters and the Correlation matrix are not
available when GN (Gauss-Newton) method is used without LOSS statement
with SCALE option.  To get these statistics use the QN (Quasi Newton)
method or state LOSS=(dependent-ESTIMATE)^2 . Regression    %12s %5ld %12s   Residual    %12s %5ld %12s \n      Total    %12s %5ldMean corrected %12s %5ld \n       Raw  R-square (1-Residual/Total)        = %12sMean corrected R-square (1-Residual/Corrected) = %12s          R(observed vs predicted) square      = %12s  Case     Observed    Predicted     Residual  Case     Observed    Predicted     Residual     Frequency   Case Weight  Case     Observed    Predicted     Residual     Frequency  Case     Observed    Predicted     Residual     Case WeightESTIMATERESIDUALUSE "%s"SELECT %s=='%s'
BEGIN   PLOT %s * %s / VECTOR = %s, %s, COLOR=YELLOW,      XMIN=0.0, XMAX=%f, YMIN=%f, YMAX=%f, YTICKS=%ld,
      LABEL=%s, YLAB='%s'      PLOT %s * %s / POLAR, AXES=0, SCALE=0, XLAB=' ', YLAB=' ',
         YMIN=0, YMAX=%f, XMIN=0, XMAX=%f, SYMBOL=3,BEGIN   PLOT %s * %s / LINE, COLOR=BLUE,         XMIN=0.0, XMAX=%f, YMIN=%f, YMAX=%f, YTICKS=%ld,
         XLAB=' ', YLAB=' ', SIZE=0   PLOT %s * %s / SMOOTH = SPLINE, TENSION=.1, COLOR=RED,END         LOCATION=%fIN, %fIN, WIDTH=%fIN, HEIGHT=%fIN      PLOT %s * ANGLE / POLAR, AXES=0, SCALE=0, XLAB=' ', YLAB=' ',
         SMOOTH=SPLINE, TENSION=0.1,
         YMIN=0, YMAX=%f, XMIN=0, XMAX=%f, SIZE=0,      PLOT %s * %s / XMIN=%f, XMAX=%f,
         YMIN=%f, YMAX=%f, SYMBOL=2Maximum number of iterations exceeded.  Current estimates suspect.This problem did not converge.  Try:
- different starting values after inspecting scatter plots
- different estimation methods, Marquardting, adjust TOL, CONV, HALF, ...
- estimate the model in stages: hold some of the parameters fixed    WALD       UPPER       LOWER       LIMIT       T____       ALPHA      CLEVEL$   PAR_NAME$   ANGLE       RADIUS50    RADIUS75    RADIUS90    RADIUS95    RADIUS99    CENTER      RADIUS      For some cases, the value of your LOSS function is negative. \n              Eigen      Canonical    Cumulative proportion
             values   correlations      of total dispersion
          ---------   ------------    ---------------------\nLawley-Hotelling trace=%12.3lf
              Approx.F=%12.3lf  df=%4ld,%9ld  p-tail=%8.4lf\n        Pillai's trace=%12.3lf
              Approx.F=%12.3lf  df=%4ld,%9ld  p-tail=%8.4lf\n         Wilks' lambda=%12.3lf
              Approx.F=%12.3lf  df=%4ld,%9ld  p-tail=%8.4lf \nCanonical discriminant functions
-------------------------------- \nCanonical discriminant functions -- standardized by within variances
-------------------------------------------------------------------- \nCanonical scores of group means
------------------------------- \n%12.12s      Canonical scores \nGroup frequencies
----------------- \nGroup means
----------- \nPooled within covariance matrix  --  df= %7.0lf
------------------------------------------------ \nTotal  covariance  matrix        --  df= %7.0lf
------------------------------------------------ \nWithin correlation matrix
------------------------- \nTotal correlation matrix
------------------------ \n  Variable    F-to-remove  Tolerance |   Variable     F-to-enter  Tolerance
-------------------------------------+------------------------------------- \n****************  Step %3ld  --  Variable %s %s  **************** \nBetween groups F-matrix  --  df =%6ld %6ld
---------------------------------------------- \nWilks' lambda \nClassification functions
---------------------- Approx. F= %10.4lf    df =%6ld%6ld     prob = %7.4lf%4ld %12.12s%8.2lf%11.6lf | %4ld %12.12s%8.2lf%11.6lf%4ld %12.12s%8.2lf%11.6lf |                                     | %4ld %12.12s%8.2lf%11.6lf   Lambda = %10.4lf    df =%6ld%6ld%6ld \nGroup frequencies
-----------------       Means
       ----- \nPooled within covariance matrix  --  df= %7.0lf
------------------------------------------------ \nWithin correlation matrix
------------------------- \nTotal  covariance  matrix        --  df= %7.0lf
------------------------------------------------ \nTotal correlation matrix
------------------------ \nGroup %s covariance matrix
------------------------------------ \nGroup %s correlation matrix
------------------------------------The covariance matrix of group %s is singular.       Could not pivot on variable %s \nLn( Det(COV of group %s) )= %12.8lf \nGroup %s discriminant function coefficients
-------------------------------------------------The Pooled covariance matrix is singular. \nLn( Det(Pooled covariance matrix) )= %12.8lf \nTest for equality of covariance matrices    Chisquare= %10.4lf     df= %6ld    prob= %7.4lf \nBetween groups F-matrix  --  df = %6ld%6ld
---------------------------------------------The Total covariance matrix is singular.Ln( Det(Total Covariance matrix) )= %12.8lf \nWilks' lambda for the hypothesis   Lambda = %10.4lf    df =%6ld%6ld%6ld Approx. F= %10.4lf    df =%6ld%6ld       prob = %7.4lfReduce the model to avoid singularities, then resubmit the problem. \n                   Mahalanobis distance-square from group means and
                     Posterior probabilities for group membership \n%s
------------         -->   case misclassified          *    case not used in computation \nClassification matrix (cases in row categories classified into columns)
--------------------- \nJackknifed classification matrix
--------------------------------\nData and predicted group indicator are saved.\nPredicted group indicator and canonical discriminant scores are saved.\nData, Predicted group indicator, and canonical discriminant scores are saved.\nPredicted group indicator, Mahalanobis distances,
and posterior probabilities are saved.\nData, Predicted group indicator, Mahalanobis distances,
and posterior probabilities are saved.%6ld cases have been saved.    %15.3lf%15.3lf       %15.3lfPREDICTDMISCLASSDISTANCE    PROB   SCOREEnteredRemoved       Priors =%s               %s                   %s%correct    -----  There are no variables in the model  ----- \n*********  No variable moved into or out of the model  ********* \nClassification of cases with zero weight or frequency
----------------------------------------------------- Not Grouped   testing: df = %3ld%3ld%6ld \n      Number of variables forced into model = %ld      F to enter lower  limit = %f      F to remove upper limit = %f      Matrix pivot tolerance  = %f      Maximum number of steps = %ld      Automatic stepping on.      Automatic stepping off. 
Quadratic Modeltesting %lfSTEP arguments: var_name or indices, - (minus) removes, + (plus) enters a
     variable, no argument for SYSTAT to select. To end stepping, type STOP.\nVariable     F-to-enter  Number of
entered or        or     variables      Wilks'     Approx.
   removed   F-to-remove  in model      lambda     F-value  df1   df2    p-tail
------------ ----------- --------- ----------- ----------- ---- ----- ---------%12.12s %11.3lf%10ld%12.4lf%12.4lf%5ld%6ld%10.5lfFACTORCanonical Scores PlotSplit     Variable         PRE  Improvement%5.0lf %s %s %sPredicted variable: %sFitting Method: Least SquaresFitting Method: Trimmed Least SquaresFitting Method: Least Absolute DeviationsFitting Method: Phi-SquareFitting Method: Gini IndexFitting Method: TwoingEach node is trimmed %3.0lf percentMinimum split index value:          %sMinimum improvement in PRE:         %sMaximum number of nodes allowed:           %.0lfMinimum count allowed in each node:        %.0lfThe final tree contains %.0lf terminal nodesProportional reduction in error: %sNode from Count         Mean          SD    Split Var   Cut Value         FitNode from Count       Median    Avg|Dev|    Split Var   Cut Value         FitNode from Count         Mode    Impurity    Split Var   Cut Value         Fit%4.0lf %4.0lf %5.0lf %s%s %s%s%s%4.0lf %4.0lf %5.0lf %s%s%.0lf cases deleted due to missing data.TREE program has been saved.MOTHERSPLVALFIRSTLASTMEANCRITXNODEYNODEDIRECLABEL$MODE$ 
Reordered item weak monotonicity coefficients 
Iteration  Loss
---------------  %ld    %lf 
Final loss value: %sProportion of profile pairs correctly represented: %sScore-distance weighted coefficient: %s 
       Label       DIM 1       DIM 2       Joint     Lateral         Fit%ld cases deleted due to missing data.LABEL$DIM(1)DIM(2)JOINTLATERALFITProfiles have been saved.POSAC Profile Plot 
Simple Correspondence Analysis 
Canonical Correspondence AnalysisChi-Square = %s.Degrees of freedom = %.0lf.Probability = %s. 
Row Variable Coordinates 
        Name         Mass      Quality      Inertia     Factor 1     Factor 2 
Row variable contributions to factors 
        Name     Factor 1     Factor 2 
Row variable squared correlations with factors 
Column variable coordinates 
Column variable contributions to factors 
Column variable squared correlations with factors 
Multiple Correspondence Analysis 
Variable Coordinates 
Variable contributions to factors 
Variable squared correlations with factors 
Factor   Eigenvalue Percent Cum Pct 
    Sum %s  (Total Inertia) 
Case coordinates%-12.12s %-12.12s %-12.12s %-12.12s %-12.12s %-12.12s%-12.12s %-12.12s %-12.12sDimension-1Dimension-2Factor-1Factor-2Label$Correspondence Plot \nBipartial set correlation analysis (Y|YPARTIAL VS. X|XPARTIAL) \nY semipartial set correlation analysis (Y|YPARTIAL VS. X) \nX semipartial set correlation analysis (Y VS. X|XPARTIAL) \nPartial set correlation analysis (Y|YPAR VS. X|XPAR, WHERE YPAR=XPAR) \nWhole set correlation analysis (Y VS. X) \nNumber of cases on which analysis is based: %.0lf. \nDependent set y partialled by these variables: \nIndependent set x partialled by these variables: \nHypothesis tests conditioned on these error variables: \nWithin basic set y correlations \nWithin basic set x correlations \nBetween basic y (col) and basic x (row) correlations \nEstimated (from x-set) y intercorrelations (R-square on diagonal) \nSignificance tests for prediction of each basic y variable \nVariable       F-statistic   Probability \nBetas predicting basic y (col) from basic x (row) variables \nStandard errors of betas \nT-statistics for betas \nProbabilities for betas \nStewart-Love canonical redundancy index = %s \nCanonical correlations \nBartlett test of residual correlations \nCorrelations %.0lf through %.0lf \nCanonical coefficients for dependent (y) set \nCanonical loadings (y variable by factor correlations) \nCanonical redundancies for dependent set \nCanonical coefficients for independent (x) set \nCanonical loadings (x variable by factor correlations) \nCanonical redundancies for independent set \nRotated dependent canonical loadings \nRotated independent canonical loadings \nRotated canonical correlations%.0lf cases deleted due to missing data.RAO F =%s   df =%s,%s   Prob=%sR-Square = %s                    Shrunk R-Square = %sT-Square = %s                    Shrunk T-Square = %sP-Square = %s                    Shrunk P-Square = %s      Chi-square statistic = %s    df =%6.0lf   prob=%s%-12.12s  %s  %sX, Y, XP, YP and G variables cleared. 
Computing limits for range distribution...please wait.
  
 
Average Run Length Data 
 
Operating Characteristic Data 
 %s %s
  
 
Listing of Chart Data 
Out-of-control samples are marked with * in the first column. K = %+12.12s   H = %+12.12s   Absolute Z-Limit = %+12.12s 
 %+12.12s %+12.12s   CENTER          UCL          LCL            N
  
 %+12.12s     FREQ     CUM_FREQ     PROPORTN     CUM_PROP
  
 %+12.12s   CENTER          UCL          LCL
  
 %+12.12s %+12.12s      UCL            N
  
 %+12.12s CUSUM_HI     CUSUM_LO            Z         MEAN            N
  
 
Means of Individual Variables Comprising T-squared.
  
 
Listing of Samples Exhibiting Outliers.
                 Type of Outlier
%+12.12s Median  H-Spread  Data-Values 
   No outliers are present in the data. 
Number of Lines of Input Data Read      =%+12.12sNumber with Missing Data or Zero Weight =%+12.12sNumber of Samples to be Plotted         =%+12.12s(Only Subgroups Containing Data are Plotted).
 Estimated Population Mean               =%+12.12sMean of Sample Ranges                   =%+12.12sEstimated Population p value            =%+12.12sEstimated Population Count/Sample-Unit  =%+12.12sMedian of all Sample Medians            =%+12.12sEstimated Population Standard Deviation =%+12.12sMedian of all Sample Quartile-Spreads   =%+12.12sSample Size for each Sample             =%+12.12sTotal N (Excluding Missing Data)        =%+12.12sTotal Units (Excluding Missing Data)    =%+12.12sMean of Predictor Variable (X)          =%+12.12s
Standard Deviation of X Variable        =%+12.12s
Mean of Predicted Variable (Y)          =%+12.12s
Standard Deviation of Y Variable        =%+12.12s
Estimated Regression Slope              =%+12.12s
Estimated Regression Intercept          =%+12.12s
Standard Error of Estimate              =%+12.12s
Pearson Correlation Coefficient         =%+12.12s 
Grand Means of Dependent Variables: 
Pooled Variance-Covariance Matrix: 
 
Process Capability Data and Indices:
 Three Sigma Limits:     %+12.12s            %+12.12s
Specification Limits:   %+12.12s            %+12.12s
 
 Index Cp = %+12.12s            Index Cpk = %+12.12sX-BAR Chart forVAR Chart forS Chart forR Chart forNP Chart forP Chart forC Chart forU Chart forMA Chart forPareto Chart forRegression ChartEWMA Chart forT-Squared ChartCUSUM Chart forBoxplot Chart forX-Chart (Individual Cases)X-BAR/S Chart forX-BAR/R Chart for, N =Output has been saved to a SYSTAT file. 
  with Alpha =ARL         BETA        MEAN        VARIANCE    SIGMA       RANGE       NP          P           COUNT       RATE        CENTER      UCL         LCL         N           FREQ        CUM_FREQ    PROPORTN    CUM_PROP    CUSUM_HI    CUSUM_LO    Z           GROUP       Operating CharacteristicAverage Run LengthMA          EWMA        TSQUARED    FREQUENCYCUMULATIVE FREQUENCYPROPORTIONCUMULATIVE PROPORTIONEXPECTED STANDARD DEVIATIONEXPECTED RANGEProcess Capability Chart+3S-3SLSLUSL: K =, START =Lower Cumulative SumUpper Cumulative SumPageConditional LOGIT, data organized by matched set.Conditional LOGIT.Prediction separation ignored for BYCHOICE data.Not enough workspace for QML covariance matrix.Total      : %ldNot enough memory for Prediction Success Table.Constant conditional variables are:Constant conditional values are:Now using normal LOGIT conventions.Constant conditional variables are: Maximum relative parameter change element: %s  Norm of relative parameter change vector: %s                  Maximum gradient element: %s                                    G'*H*G: %s                                 Condition: %s 
Hessian Matrix 
Covariance Matrix 
Identity MatrixConvergence achievedFailure to fit model or perfect fit.Iteration limit of %ld exceeded.Failed to satisfy change tolerance.Failed to satisfy norm tolerance.Failed to satisfy gradient tolerance.Failed to satisfy GHG tolerance.%ld observations dropped, X'B too large.L-L at iteration %ld is %sFailure to improve likelihood function at iteration %ld.Old likelihood = %sNew likelihood = %sProcessing observation %ld.Cases having negative weights processed.Cases having negative weights processed as missing.Cases having zero weights processed as missing.Cases having a categorical variable out of range processed as missing.Cases having a zero for a categorical variable retained for analysis.Dependent variable: %sNumber of alternatives: %sAnalysis is weighted by %sSum of weights = %sInput records: %sMatched sets in RAM for analysis: %sRecords in RAM for analysis: %sMatched sets for analysis: %sRecords for analysis: %sRecords deleted for missing data: %sRecords excluded for prediction: %sUnable to continue analysis.Multinomial LOGIT analysis - Score Test.Multinomial Stepwise LOGIT Analysis.Multinomial LOGIT Analysis.Binary LOGIT Analysis - Score Test.Binary Stepwise LOGIT Analysis.Binary LOGIT Analysis.Conditional LOGIT Analysis - Score Test.Conditional Stepwise LOGIT Analysis.Conditional LOGIT Analysis.Failure to improve likelihood function at iteration %ld.    Old Log-Likelihood = %s  New Log-Likelihood = %sIteration start size = %sL-L at iteration %ld = %s    Step-size = %sL-L at iteration %ld = %s    Too far, size = %sL-L at iteration %ld = %s    Go back, size = %sPerfect collinearity in a choice pair detected, parameters set to zero.Derivatives not calculated. 
Choice probabilities for each category evaluated at mean data values      Choice     Observed    Predicted 
Individual variable derivatives evaluated at mean data values 
Individual variable elasticities evaluated at mean data values%s %s %s 
Individual variable derivatives averaged over all observations     Prediction subsample 
Individual variable elasticities averaged over all observationsIndependent variable %sOdds ratio, %7.1lf % bounds = %s [%s,%s]QML covariance matrix not calculated.Computational instability detected.
Covariance matrix not QML adjusted.Covariance matrix QML adjusted.Results of estimationFixed parametersLog Likelihood: %s                                               %7.1lf % bounds    Parameter              Odds Ratio        Upper        LowerLog Likelihood of constants only model = LL(0) = %s2*[LL(N)-LL(0)] = %s with %ld df2*[LL(N)-LL(0)] = %s with %ld df Chi-sq p-value = %sMcFadden's Rho-Squared = %sNot enough memory for Wald tests. 
Covariance MatrixNot enough memory for correlation matrix. 
Correlation MatrixMaximum number of steps taken.Model is empty.Stepping stops.  Final model summary follows.Stepping stops.Step %3ldModel is empty, try to step up.Downward step not possible.Maximum significance level for effect %3ld,Enter effect to remove (0 to abort removal)Model is full.Minimum significance level for effect %3ld.Minimum significance level for effect %3ld.  Too large for addition.Minimum significance level for effect %3ld.  Added to model.Added to model.Added to model. Model is now full.Enter effect to add (0 to abort addition)...StepDeleted from model.Maximum significance level for effect %3ld, too small for removal.Maximum significance level for effect %3ld, deleted from model.Sample splitCategory choices                        WeightedCategory     Count         CountWarning: One or more alternatives above were not chosen.Means      : %ldData 1     : %ldCases      : %ldData 2     : %ldData 3     : %ldExplode    : %ldParameters : %ldChange     : %ldGradient   : %ldWork       : %ldHessian    : %ldCovariance : %ldDER, XB    : %ldXBWork     : %ldElas. Work : %ldTest W     : %ldTest Work  : %ldTest R     : %ldTest Q     : %ldPS Table   : %ldPS RSums   : %ldPS CSums   : %ldPS Prob    : %ldPS EXPBX   : %ldMeans      : %ldData 1     : %ldData 2     : %ldData 3     : %ldCases      : %ldPrevious   : %ldMeans      : %ldData 1     : %ldCases      : %ldData 2     : %ldData 3     : %ldExplode    : %ldParameters : %ldChange     : %ldGradiant   : %ldWork 1     : %ldHessian    : %ldCovariance : %ldWork 2     : %ldXBWork     : %ldBy groups have been disabled.    PROB     INCLVAL        LOOP    Number of levels identified with NCAT (%ld) is not the number
encountered in the data (%ld). NCAT value reset to %ld.Choice Group: %sCases having nonpositive weights processed as missing.Cases having nonpositive weights processed.Cases having a categorical variable out of range
processed as missing.                            Binary Probit AnalysisAt Risk variable         : %sFailure variable         : %sNo Fail variable         : %sDependent variable       : %sAnalysis is weighted by  : %sSum of weights           : %sInput records            : %sRecords kept for analysis: %sCases excluded due to missing data: %sRecords excluded for prediction: %sIndependent variable means   Parameter          Non-Response (%12.12s)     Response (%12.12s) 
Number of observations : %s 
Number not failing: %s
Number failing      %s 
Number with %s = %12.12s (non-response) : %s
Number with %s = %12.12s (response)     : %s<not used>May be due to missing or deleted observations.Log-Likelihood function fails to approach zero
at iteration %ld.Relative tolerance = %sFailure to improve log likelihood at iteration = %ld. 
Convergence achieved after %ld iterations.Relative tolerance = %sIteration %ld      L.L.: %s Tolerance: %sMaximum number of iterations exceeded.  Increase MAXIT or
check your data for singularity or lack of identification. 
Results of estimationLog Likelihood: %sDependent variable: %s-2 * L.L. ratio = %s with %ld degrees of freedomChi-Sq. p-value = %s%2ld% %+12.12s %+12.12s %+12.12sQuantiles and %.1lf% Fieller bounds:          Value        Upper        Lower       Quantile 
Covariance MatrixInsufficient memory for prediction success table.The following results are for: %s = %s.No failures in the risk set.       Lower                                 Number
    Interval     Interval     Interval     Entering       Number       Number
       Bound     Midpoint        Width     Interval       Failed     Censored
%s       Lower               Probability                                   S.E.
    Interval     Interval      Density         S.E.       Hazard       Hazard
       Bound     Midpoint     Function          PDF         Rate         Rate
%s                      _B(1)_       _B(2)_%12s %12s %12s %12s %12s %12s                   Number  Conditional  Conditional   Cumulative         S.E.
    Interval      Exposed  Probability  Probability  Probability   Cum. Prob.
    Midpoint      To Risk   Of Failure  Of Survival  Of Survival  Of Survival
%s                      _B(1)_       _B(2)_ %sCox Time Dependent Proportional Hazards EstimationCox Proportional Hazards Estimationwith stratification on %sExponential distribution B(1)--shape=1.0, B(2)--locationWeibull distribution B(1)--shape, B(2)--locationLog-normal distribution B(1)--scale, B(2)--locationLog-logistic distribution B(1)--scale, B(2)--locationExtreme value parameterizationTime offset %ld = %sNo stratification 
Stratification on %s specified, %ld levelsLog Weibull used in place of Weibull for steppingEXP[X'B] too large, %ld observations altered.Exact failure patternRight censoring patternInput records: %sRecords kept for analysis: %sRecords deleted for missing data: %sNonpositive weights encountered and processed as missing.At least 1 observation with a nonpositive weight input.%ld observations deleted having time=0.0.%ld observations coded as interval censored, but having LOWER=TIME
converted to exact failures.No failed observations input.Sum of weights for failed observations less than zero.Bubble sorting data during input.Shell sorting data during input. 
Type 1, exact failures and right censoring only.
Analyses/estimates: Kaplan-Meier, Cox and parametric modelsType 2, distinct interval grouping and right censoring only.
Analyses/estimates: Kaplan-Meier and parametric modelsType 3, general censoring (left censoring and/or nondistinct intervals).
Analyses/estimates: Kaplan-Meier (generalized) and parametric modelsOverall time range: [%s , %s]Failure time range: [%s , %s]Plot type: Survival distributionPlot type: Cumulative hazardPlot type: Log cumulative hazardLog-rank test, stratification on %s strata range %ld to %ldNo exact failures found within time range.*** %ld observations outside of the specified
*** strata range were withdrawn from the sample. 
                      Method: %s            Chi-Sq statistic: %s with %.0lf dfSignificance level (p value): %sTime range: %s to %s%ld exact %s%ld inter %s%ld left %s%ld right %sTurnbull K-M estimationKaplan-Meier estimationStratification ignored for generalized KM estimateWith stratification on %sSubset ignoredAll the data will be usedSubset of the data specified by a covariate vectorStratification ignored%ld evaluation covariate vector%ld evaluation covariate vectors 
 
The following results are for %s = %s.No observations found for %s = %s.No observations found%s %s%s %s %s %s%s %s %s %s %s%s %s %s %s %s %s%ld strata specified, only first 10 plotted.Iter  Step            L-LIter   Step            L-L     MethodTry using WB or EXP.
 %s %5ld   %sFailure to increase log-likelihood
estimation stops.Non-negative log-likelihood.Warning, iteration limit encountered.
Estimation halted prematurely, results not at convergence.Warning, step halving limit encountered.
Estimation halted prematurely, results not at convergence.         Offset          L-L       _B(1)_       _B(2)_Kaplan-Meier Life TableMedian Rank Life Table: Midpoint ApproximationMedian Rank Life Table: Mean ApproximationMedian Rank Life Table: Median ApproximationMedian Rank Life Table: Exact with %.1lf % confidence intervalsLinear paper: Survivor probability against timeLinear paper:  Failure probability against timeE.V. paper: Log(-Log(S)) against timeE.V. paper: Log(-Log(F)) against timeExponential paper: Log(S) against timeExponential Paper: Log(F) against timeWeibull paper: Log(-Log(S)) against Log(time)Weibull paper: Log(-Log(F)) against Log(time)Log-normal paper: Inverse-CDF(S) against Log(time)Log-normal paper: Inverse-CDF(F) against Log(time)Log-logistic paper: Log((1-S)/S) against Log(time)Log-logistic paper: Log((1-F)/F) against Log(time)Log-log paper: Log(S) against Log(time)Log-log paper: Log(F) against Log(time)F = Failure probabilityS = Failure probabilityThe following results are for %s = %s. 
Sum of weights in risk set nonpositive. 
No variation of time in risk set.For strata %s = %s. 
      Number       Number                  Survivor   Rank Order      
      Number       Number                  Survivor   Rank Order     Midpoint      
      Number       Number                  Survivor   Rank Order         Mean      
      Number       Number                  Survivor   Rank Order       Median      
      Number       Number                  Survivor   Rank Order        Exact     At Risk      Failing         Time  Probability       Number     At Risk      Failing         Time  Probability       Number         RankKolmogorov-Smirnov (max dif): %s
N-of-cases: %sCovariate means%+12.12s=%+12.12s   %s   %+12.12s=%+12.12s 
Means have been subtracted from the covariates. 
Covariate vector  1 - actual data.
  
%s and %s model estimates
 %s estimationNo tied failure timesTied failure times     
      Number       Number                       K-M     Standard
     At Risk      Failing         Time  Probability        Error     
                                              Model        Model
      Number       Number                  Survival       Hazard     At Risk      Failing         Time  Probability         Rate      KM Prob     At Risk      Failing         Time  Probability         Rate 
                          Turnbull K-M      Density
  Lower Time   Upper Time  Probability       Change 
                                 Model        Model
                              Survival       Hazard Turnbull K-M
  Lower Time   Upper Time  Probability         Rate  Probability       Change 
             Standardized
        Time     Quantile 
Loading Data
 No covariates input
 No covariates input 
Special variables input: 
Engineering input: 
  Time variable: %sCensor variable: %sWeight variable: %s Lower variable: %sInput continuesDo you wish to continue with the input? 
The following results are for %s = %s.Frequency pattern for %s 
Weight defaults to 1.0 for each observation.
  
 Eqn         _B(1)_       _B(2)_ 
Forced variables entering model. 
Step number %ld 
Stepping no longer possible. 
Downward step not possible 
Check for step down                   t-ratio          "p"
Further stepping impossible.Variables included:Variables excluded: 
Maximum significance level for %s too small for removal 
Maximum significance level for %s 
%s deleted from model 
Further stepping impossible.Inclusion of %s would lead to a singular Hessian 
Check for step up 
Minimum significance level for %s 
Minimum significance level for %s too large for entry. 
%s is entering into the model 
Final Model SummaryModel has no covariates.
 Log-likelihood = %s 
Stepping parameters:
Significance to include = %s
Significance to remove  = %s
Number to force         = %s
Maximum number of steps = %s
Direction               = %s
 Down onlyUp onlyUp and downModel removed from memory. 
Group size               = %s
Number failing           = %s 
Covariate vector:Product limit likelihood = %s
 Mean survival time = %s 
Survival Quantiles%s%   %sExp[X'B] too large, %ld observations altered.Unable to offset time, minimum time on data set is less than 1.0Unable to evaluate log-likelihood.Quantile table aborted.Reliability table aborted.Hazard table aborted. 
Quantile %.1lf confidence intervals 
Reliability %.1lf confidence intervals 
Hazard %.1lf confidence intervals   for last model estimated: EXP (Exponential distribution)
    for last model estimated: EEXP (Exponential distribution)
    for last model estimated: WB (Weibull distribution)
    for last model estimated: EWB (Weibull distribution)
    for last model estimated: LNOR (Log-normal distribution)
    for last model estimated: LGST (Log-logistic distribution)
    for last model estimated: COX (Proportional hazards)
                                  Lower        Upper       Log Of      S.E. Of
                Estimated         Time         Time    Estimated          Log
    Quantile         Time        Bound        Bound         Time         Time                                 Lower        Upper
                Estimated  Reliability  Reliability    Estimated      S.E. Of
        Time  Reliability        Bound        Bound     Log Odds     Log Odds                Estimated        Lower        Upper    Estimated      S.E. Of
                   Hazard       Hazard       Hazard          Log          Log
        Time     Function        Bound        Bound       Hazard       Hazard 
Time 
Reliability 
Hazard                                     Probability
                                         Time
 %12s %12s %12s %12s %12s %12s 
Iter          L-L
 %3ld %s 
Iteration %3ld
Log-likelihood = %s
 
                          Turnbull K-M      Density
  Lower Time   Upper Time  Probability       Change %3ld %s 
     Turnbull K-M: Failure to converge after %ld iterations 
       Convergence achieved in %ld iterations   Final convergence criterion: %s          Final log-likelihood: %s
  %+12.12s %+12.12s %+12.12s %+12.12s %+12.12s %+12.12s %+12.12s %+12.12s %+12.12s %+12.12s%+12.12s    Infinity %+12.12s %+12.12s %+12.12s %+12.12s%+12.12s    Infinity %+12.12s %+12.12s %+12.12sNo covariates in last model.
Conducting default model.
  
 
General linear test resultsTest statistic = %s
ChiSq significance = %s
Degrees of freedom = %s
  
 
Linear restriction system%5ld exact %s%5ld L or I%5ld right 
                                       Weighted
 Censoring          Observations   ObservationsExact Failures     %s%s  %s %sRight Censored     %s%s  %s %sInterval Censored  %s%s  %s %sLeft Censored      %s%s  %s %s           Totals  %s%s  %s %s
  
Data have not been input yet. 
Active covariates: 
Strata variable %s, %ld levels 
Removed covariates: 
Stratification reset
  
Virtual variables currently defined:Not specifiedTime variable: %sCensoring: %sWeight variable: %sLower time: %s 
Engineering input, lower and censor not required.   LOWER    MIDPOINT       WIDTH       ENTER      FAILED    CENSORED     EXPOSED       CNDPD       CNDPS       CUMPS     SECUMPS         PDF       SEPDF      HAZARD    SEHAZARD    No time variance, using exponential start values.
 Input will be conducted with engineering conventions.Time variable not in SYSTAT data set.Default time variable %sWeight variable not in SYSTAT data set.Default weight variable %sCensor variable not in SYSTAT data set.Default censor variable %sLower variable not in SYSTAT data set.Default lower variable %sHPlot settings return to defaults:First covariate vector used 
Quantile table, Weibull models 
Log-logistic model 
Log-normal model 
Previous Cox model 
Subset ignored 
Life table for last Cox model 
Life table for last Weibull model 
Life table for last accelerated Weibull model 
Life table for last log-normal model 
Life table for last log-logistic model 
Comparison of life table for last Cox model and Kaplan-Meier estimation 
Comparison of life table for last Weibull model and Kaplan-Meier estimation 
Comparison of life table for last accelerated Weibull model and
Kaplan-Meier estimation 
Comparison of life table for last log-normal model and Kaplan-Meier
estimation 
Comparison of life table for last log-logistic model and Kaplan-Meier
estimation 
Comparison of life table for last Cox model and Turbull K-M
estimation 
Comparison of life table for last Weibull model and Turbull
K-M estimation 
Comparison of life table for last accelerated Weibull model and Turbull
K-M estimation 
Comparison of life table for last log-normal model and Turbull
K-M estimation 
Comparison of life table for last log-logistic model and Turbull
K-M estimation    TIME      LTSURV      LTCHAZ     LTLCHAZ      CENSOR      WEIGHT      KMSURV      TBSURV      KMCHAZ      TBCHAZ     KMLCHAZ     TBLCHAZ    QUANTILE    BHHH N-R    TIME    CENSORING    WEIGHT   LOWER TIME 
Relative log-likelihood 
Log-likelihood 
_B(1)_ 
_B(2)_ 
 
Summary of offset/likelihood tradeoff 
                  Mean
Vector    Failure Time     VarianceCoefficient of variation: %s    MFT = %s, VAR(MFT) = %s, CV = %s 
                 Mean
Vector   Failure Time     Variance       Median         ModeMedian = %s, Mode = %s 
 
Correlation matrixL.L. test based on user specified start valuesL.L. test based on previous model start values 
             Results after %ld iterations              Final convergence criterion: %s
                 Maximum gradient element: %s
         Initial score test of regression: %s with %ld df
             Significance level (p value): %s
                     Final log-likelihood: %sInitial score test based on user specified start values.
 Initial score test based on previous model start values.
  
Log-likelihood = %s
Convergence criterion = %s
 
Parameter estimates 
Gradient 
Covariance matrix 
Initial score test of regression: %s with %ld df
    Significance level (p value): %sIteration %ld %s                 -2*[LL(0)-LL(FINAL)] test: %s with %ld df
              Significance level (p value): %s                  -2*[LL(0)-LL(%ld')] TEST: %s with %ld df
              Significance level (p value): %s 
    1.0/_B(%ld)_ = %s, LN(_B(2)_) = %s 
    1.0/_B(%ld)_ = %s, EXP(_B(2)_) = %s 
    LN(_B(2)_) = %s 
    EXP(_B(2)_) = %s      B1          B2      LOGLIK     
                                    %7.1lf % Confidence Intervals
    Parameter                  Estimate        Lower        Upper    TIME      KMFAIL      KMSURV    MDPTFAIL    MDPTSURV    MEANFAIL    MEANSURV    MEDNFAIL    MEDNSURV    EXCTFAIL    EXCTSURV        RANK    POSITION    RANKHIGH     RANKLOW    PROJTIME     Curves Kaplan-Meier    Cox        Weibull  E.V. Weibull Log-Normal Log-Logistic  T.D. Cox  Turnbull K-M 
Warning -- The following two special survival variables:
 
              %s and %s
 
have been specified as the same SYSTAT variable:
 
              %s
  
Data has %s
Sorting is %+4.4s                  Covariate centering is %+4.4s
Tables are %+4.4s                  Plots are %+4.4s
Iterlog is %+4.4s                  Hold is %+4.4s
Start is %+4.4s                    Last estimation was %+4.4s
 Tol1 = %sIterations = %s, Halvings = %s
HFACTOR = %s
Plot parameters:
TMIN = %s,   DELT = %s,   TMAX = %s
PMIN = %s,   PMAX = %sCensor was not input.Lower was not input.Sorting was found to be required on the following special variables:Sorting activated, input continues.Continue with input?Re-use data set and continue.Unrecognized option "%s". State unchanged. 
Stratification reset. 
Resetting all options.
 Re-estimate with E%s then use HAZA or RELI.HPLOT parameters: TMIN = %+12.12s
                  DELT = %+12.12s
                  PMIN = %+12.12s   PMAX = %s
                  NLINES = %+12.12s   %sADJUST   %sPMIN and PMAX above are transformed. 
CPLOTS not available in this version.
 Histograms are not available in this version.Stepping turned off.Unrecognized option, HOLD state unchanged.Hold set to OFF.Current parameters held for next parametric model._B[0]_ , _B[1]_ will also be held.No covariates input. Remove ignored.No removals.Data forced to be type %ld.Unrecognized option, ITERLOG state unchanged. 
Stratification reset.
 %s %5ld   %s       %sLog-likelihood = %sTimeSurvivor FunctionQuantile PlotReliability PlotHazard PlotReliabilityHazardCumulative HazardLog Cumulative HazardProbability PlotQuantileScores have been saved 
Data have been rescored with the following key: Item         Key 
Case Case label   Half1-score  Half2-score  Total-score
Mean-score   z-score 
Case Case label     Odd-score   Even-score  Total-score
Mean-score   z-score%ld %s missing %ld data items.%ld missing %ld data items. 
%ld cases were processed.  %ld had missing data. 
Data below are based on %ld complete cases for %ld data items. 
Test score statistics 
                         Total     Average       Half1       Half2 
                         Total     Average         Odd        EvenMean              %sStd Dev           %sStd Err           %sMaximum           %sMinimum           %sN cases           %s 
Internal consistency data 
Split-half correlation          %8.3lfSpearman-Brown Coefficient      %8.3lfGuttman (Rulon) Coefficient     %8.3lfCoefficient Alpha - all items   %8.3lfCoefficient Alpha - odd items   %8.3lfCoefficient Alpha - half1 items %8.3lfCoefficient Alpha - even items  %8.3lfCoefficient Alpha - half2 items %8.3lf                  Frequency data for 15 z-score intervals                  Relative frequency (percent) 
Approximate standard error of measurement of total score
for 15 z score intervals 
     z score Total score           N   Std Error 
Item reliability statistics 
                                            Item-    Item    Excl    Excl
                                            Total  Reliab    Item    Item
Item       Label         Mean     Std Dev       R   Index       R   Alpha%4ld %sEach of the following item histograms shows scaled mean-item-scores
for cases with total scores that fall into each of 15 z-score intervals.Scaled mean-item-score = 100*(m-min)/(max-min), where
m = mean-item-score
min = minimum item score in the data, and
max = maximum item score in the data.If data are scored right or wrong then the scaled mean-item-score
is percent correct.Item: %ld    Label: %s  Mean: %s Std Dev: %sScaled mean-item scoreZ   0   10   20   30   40   50   60   70   80   90  100    N    % SCORE                                                                      Total 
-Log(Likelihood) using initial parameter estimates = %12.6lf 
STEP %ld convergence criterion = %lf 
Stage 1: estimate ability with item parameter(s) constant.Case %ld, most recent ability estimate = %lfInput value for ability = %lf 
-Log(Likelihood)         Change       Likelihood Ratio    %12.6lf   %12.6lf           %12.6lf 
Greatest change in ability estimate was for case %ld 
Change from old estimate = %12.6lf , current estimate = %12.6lf 
Stage 2: estimate item parameter(s) with ability constant.Item %12s most recent difficulty estimate = %lfMost recent discrimination index = %lfInput difficulty estimate = %lfInput discrimination index = %lf 
Greatest change in difficulty estimate was for item %sChange from old estimate = %12.6lf, current estimate = %12.6lfGreatest change in discrimination estimate was for item %sChange from old estimate = %12.6lf, current estimate = %12.6lfCurrent value of discrimination index = %12.6lf 
%ld cases were processed, each containing %ld items%ld cases were deleted by editing for missing data or for zero or
perfect total scores after item editing.%ld items were deleted by editing for missing data or for zero or
perfect total scores after item editing. 
Data below are based on %ld cases and %ld items 
Total score mean = %s, standard deviation = %s. 
Item difficulty and discrimination data based on %ld usable cases. 
Item       Label        Item P  Difficulty     Std Err     Discrim     Std Err%ld %s *******Unusable Item****** 
Mean              %sStd Dev           %sN cases           %s 
Listing of estimated item-response abilities and their standard errors.All data below are based on %ld usable items. 
                         Total        Mean         IRT        Std.
   Case Label            Score       Score     Ability       Error 
                         Total        Mean         IRT        Std.
                Case     Score       Score     Ability       Error%5ld %s *******Unusable Case****** %ld data items missing%5ld %s *******Unusable Case****** zero or perfect total score%5ld    *******Unusable Case****** %ld data items missing%5ld    *******Unusable Case****** zero or perfect total score 
Frequency data for 15 IRT ability levelsEach of the following item bar charts shows percent correct scores
for each of 15 IRT ability levelsTOTALABILITYAVERAGEDIFFICDISCRIMLABEL$ 
The asterisks shown on the histogram indicate the expected percent correct
based on the IRT model.  The numerical values of these proportions are shown
on the right as P and E(P) respectively.  Values of E(P) for open intervals
are based on abilities of -4.0 and +4.0.  Also shown is the number of cases
at each ability level. 
Item %ld Label: %s, Difficulty = %lf, Discrimination = %lf 
Percent correct by abilityABILITYPERCENTPREDICTITEM$Latent Trait Model Item Plots 
Plotting only first 99 itemsInitial estimates of parameters: Chi-square modelDegrees of freedom = %sIterative maximum-likelihood estimation of parameters with
tolerance =%sIter  -Log(like)       df       Sd-ratio      Category boundariesFinal parameter estimates using upper category boundaries: Chi-Square model   Degrees of freedom = %sInitial estimates of parameters: exponential model   Multiplicative constant for noise        = %s   Multiplicative constant for signal+noise = %sIter  -Log(Like)    Mean(S+N)    Mean(N)      Category BoundariesFinal parameter estimates using upper category boundaries: Exponential model   Mean(Noise)    SD(Noise)           Mean(Sig+Noise) SD(Sig+Noise)  %s %s               %s %s \nCtgry                                          UpperLabel   FAR     HR    FINV(FAR)    FINV(HR)    Boundary        Beta   Log(Beta)       D-Prime      D Sub-A     Sakitt D     SD-Ratio     ROC Area %s %s %s %s %s \nGoodness of Fit:  Log(Likelihood)  ChiSq(%.0lf df)   Prob(ChiSq)                     %s  %s  %sInitial estimates of parameters: Gamma model   Parameter R  Parameter M0  Parameter M1  %s  %s  %sIterative maximum-likelihood estimation of parameters with tolerance = %sIter  -Log(Like)      Parm R     Parm M1      Category BoundariesFinal parameter estimates using upper category boundaries: Gamma model   Parameter R  Parameter M0  Parameter M1  %s  %s  %s \n   Mean(Noise)    SD(Noise)           Mean(Sig+Noise) SD(Sig+Noise)  %s %s             %s %s       D-Prime      D Sub-A     Sakitt D     SD-Ratio     ROC AreaUpper Category Boundaries:Initial estimates of parameters: Logistic model   Multiplicative constant = %sIter  -Log(Like)    Mean(S+N)    SD(S+N)      Category BoundariesFinal parameter estimates using upper category boundaries: Logistic modelFinv (FAR)Initial estimates of parameters: Gaussian modelIter  -Log(Like)     D-Prime    SD-Ratio      Category BoundariesFinal parameter estimates using upper category boundaries: Gaussian modelNonparametric analysis using upper category boundaries   False-alarm rates for successive categories:   Hit rates for successive categories:   Area under ROC = %sInitial estimates of parameters: Poisson modelIter  -Log(Like)    Mean(S+N)    Mean(N)      Category Boundaries \nFinal parameter estimates using upper category boundaries: Poisson model \nNumber of stimulus events (cases) responded to: %8.0lf \nNumber of detectors (variables) observing an event: %4.0lf \nNumber of response categories used:                  %3.0lf \nNumber of responses to noise events:               %5.0lf \nNumber of responses to signal events:              %5.0lf \nTotal number of responses:                         %5.0lf \nNumber of instances of missing data:               %5.0lf \nResponse   Frequency     Joint Probability  Conditional Prob.    Cum.Cond.Prob.
Category  Noise Signal     Noise   Signal     Noise   Signal     Noise   Signal%6ld  %7ld%7ld %9.5lf%9.5lf %9.5lf%9.5lf %9.5lf%9.5lf \n Total  %7ld%7ld %9.4lf%9.4lf %9.4lf%9.4lfunusedFalse-alarm rateMaximum iterations used before best fit found
*******Estimates below are not optimal*******%4ld %7.4lf%7.4lf%s%s%s%s%sUsing default setting for stimulus variable.Using default setting for response variable(s).Output data have been saved. Hit     %56s Data Rate    %56s Multiple Data         %56s ROC         %56s Area = %sFINV     %56s Data(HR)     %56s Multiple Data 64%s Linear ROC   BETA*        FAR*         HR*      DPRIME       DSUBA     SAKITTD     SDRATIO     ROCAREA       GROUP         FAR          HR    Receiver Operating Characteristic (ROC) PlotFalse Alarm RateHit RateKeep/remove status reset, all dataset variables kept.CONSTANTDeciles of RiskRecords processed: %ldRecords ignored for computational difficulties: %ldSum of weights = %s
                            Statistic      p-value           dfHosmer-LemeshowHosmer-Lemeshow*PearsonDeviancePearson and deviance not computed for weighted models.* Large influence of one or more deciles may affect statistic.CategoryResp Obs Ref  Obs      ExpAvg Prob  ACTUAL PREDICT    PROBLEVERAGE(1)LEVERAGE(2) PEARSONVARIANCESTANDARDDEVIANCE DELBETA(1) DELBETA(2) DELBETA(3)DELPSTATDELDSTATLess than 2 observations.No variation in %sNormal      Statistic            T           Statistic, df       F           Statistic, df1, df2Chi-Square  Statistic, df       Exponential Statistic            Gamma       Statistic, P         Beta        Statistic, P   , Q   Logistic    Statistic            Studentized Statistic, P   , Q   Weibull     Statistic, P   , Q   Binomial    Statistic, P   , Q   Poisson     Statistic, P         Normal           Alpha            T                Alpha, df       F                Alpha, df1, df2Chi-Square       Alpha, df       Exponential      Alpha            Gamma            Alpha, P         Beta             Alpha, P   , Q   Logistic         Alpha            Studentized      Alpha, P   , Q   Weibull          Alpha, P   , Q   Binomial         Alpha, P   , Q   Poisson          Alpha, P         CDF = %sPDF = %sInverse-CDF = %s* Bars zeroed because of resolution limitationsEntering restriction procedure.Entering hypothesis procedure.Setting up for new restriction system. Workspace cleared.Setting up for new hypothesis test. Workspace cleared.No constraints specified. Using default system that
all parameters are jointly zero.No restriction system.Inconsistent system. Ignoring %ld constraints.Inconsistent system, %ld bad constraints posed.Restriction system not implemented.General linear Wald test resultsF-Statistic = %sChiSq Statistic = %sF-Stat p-value = %sChiSq p-value = %sDegrees of freedom [NEQN,NDF] = [%ld,%ld]Degrees of freedom = %ldEnding restriction setup procedure.Ending hypothesis testing procedure.Command ignored.Keep or remove status unchanged, reissue command.ELASTICITYPlotting character: %sin fullMeans are not computed, are not printed %sMeans are not computed, are printed %sMeans are computed, are not printed %sMeans are computed, are printed %sAverage derivatives are not computed, are not printed %sAverage derivatives are not computed, are printed %sAverage derivatives are computed, are not printed %sAverage derivatives are computed, are printed %sIndividual derivatives are not computed, are not printed %sIndividual derivatives are not computed, are printed %sIndividual derivatives are computed, are not printed %sIndividual derivatives are computed, are printed %sAverage elasticities are not computed, are not printed %sAverage elasticities are not computed, are printed %sAverage elasticities are computed, are not printed %sAverage elasticities are computed, are printed %sIndividual elasticities are not computed, are not printed %sIndividual elasticities are not computed, are printed %sIndividual elasticities are computed, are not printed %sIndividual elasticities are computed, are printed %sPrediction success table is not producedPrediction success table is producedClassification table is not producedClassification table is producedTiming is OFF; QML is OFFTiming is OFF; QML is ONTiming is ON; QML is OFFTiming is ON; QML is ONBHHH is OFF; FAST is OFFBHHH is OFF; FAST is ONBHHH is ON; FAST is OFFBHHH is ON; FAST is ONIterlog is OFF; Estimate is OFFIterlog is OFF; Estimate is ONIterlog is ON; Estimate is OFFIterlog is ON; Estimate is ONDoubling is OFF; Halving is OFFDoubling is OFF; Halving is ONDoubling is ON; Halving is OFFDoubling is ON; Halving is ONPlots is OFF; Tables is OFFPlots is OFF; Tables is ONPlots is ON; Tables is OFFPlots is ON; Tables is ONSort is OFF; Center is OFFSort is OFF; Center is ONSort is ON; Center is OFFSort is ON; Center is ONLogistic overflow probabilities are set to 1.0Logistic overflow probabilities are not set to 1.0Probability variance: Normal, Confidence multiplier: NormalProbability variance: Normal, Confidence multiplier: Chi-SquareProbability variance: Delta, Confidence multiplier: NormalProbability variance: Delta, Confidence multiplier: Chi-Square  ZSCORE       LOGIT    SEZSCORE     SELOGIT      ZSCORE        PROB     DENSITY      MILLS0      MILLS1       MILLS      ZLOWER      ZUPPER      PLOWER      PUPPER    NONLIMIT    EXPECTED     CONDVAR        ODDS       ODDSL       ODDSU        LOOP    List    Change = %-12s           Norm = %-12s  Gradient = %-12s            GHG = %-12s  Function = %-12s Condition = %-12s   Significance = %-12sIterations = %-3ld                Halvings = %-ldSimulation Vector   Fixed Parameter               Value   Loop Parameter              Minimum      Maximum    IncrementLoops will generate %ld records.Do you wish to continue?Evaluation Vector       VALUE   UPPER       LOWER     Quantile Table  Probability      Z-Score %12s  Probability        LOGIT %12s  Probability      Z-Score %12s        Upper        Lower  Probability        LOGIT %12s        Upper        LowerNo occurrences within Z-Score plot X- and Y-ranges.No occurrences within LOGIT plot X- and Y-ranges.No occurrences within Probability plot X- and Y-ranges.Z-Score = PROBIT-5   LOGITSYSTAT save file created.%ld records written to the save file.%ld records with missing values written.Data set contains IDVariable %sScore tests on effects not in model                                 Score       Chi-Sq
   Effect                    Statistic       Signif          df   Joint ScoreTOL1 = %s BHHHTOL1 = %s NRTOL1 = %s TOL2 = %sConditional Label %ld = [%s]Model MatrixLinear Restriction System          Parameter EQN         %2ld           %2ld           %2ld           %2ld           %2ld EQN         %2ld            RHS           Q EQN         %2ld           %2ld            RHS           Q EQN         %2ld           %2ld           %2ld            RHS           Q EQN         %2ld            RHS EQN         %2ld           %2ld            RHS EQN         %2ld           %2ld           %2ld            RHS EQN         %2ld           %2ld           %2ld           %2ld            RHS EQN          RHS           Q EQN          RHS EQN           QStepping parameters:
Significance to include = %s
Significance to remove = %s
Number of effects to force = %s
Maximum number of steps = %sDirection : Down onlyDirection : Up and DownDirection : Up onlyAutomatic StepwiseModel Classification TableOut-of-Sample Classification TableModel Prediction Success TableOut-of-Sample Prediction Success Table      Actual  Predicted ChoiceActual      Choice     Response    Reference      Choice           Response    ReferencePred. Tot.CorrectSuccess Ind.Tot. Correct  %12s    Sensitivity: %12s     Specificity: %12sFalse Reference: %12s  False Response: %12s \nPrediction success table not calculated.\n     Parameter                Estimate         S.E.      t-ratio      p-valueCPU Time: %02d:%02d:%02d.%02d%s %ld-%02d-%4ld   %02d:%02dWald tests on effects across all choices                                 Wald       Chi-Sq
    Effect                  Statistic       Signif           dfUnrecognized option %s state unchanged.CATEGORY command does not require number of levels. Option ignored.
The number of levels of the categorical variables will be determined
by SYSTAT.BINARY option of the NCAT command is ignored.
It is no longer required.The REF option with an explicit value is no longer supported and is
ignored. After the slash in the CATEGORY command you can specify
REF=LOWEST or REF=HIGHEST.
For example,
CATEGORY GENDER[REF=1]        is not valid
CATEGORY GENDER/REF=LOWEST    is validIn the above expression you are using a variable that is first defined
by that expression. Remember that undefined variables are set to MISSING.Canonical RotationEigenvaluesCoefficients for Y setCoefficients for X setRotated Y CoordinatesRotated X CoordinatesExternal unfolding via vector model.External unfolding via circular ideal point model.External unfolding via elliptical ideal point model.Goodness of fit for subjectsSubject    R-square      F-ratio    df        "p"Regression coefficients for subjectsSubject coordinatesOrthogonal Procrustes RotationRotation matrix TTarget (X) coordinatesRotated (Y) coordinatesMDPREF (Biplot) AnalysisEigenvaluesVector coordinatesObject coordinatesConfiguration has been standardized prior to fitting.Configuration has been centered prior to fitting.Invalid DIMENSION value. Dimension reset to 1.FACTOROBS$VAR$External Unfolding Vector ModelExternal Unfolding Circular ModelExternal Unfolding Ellipse ModelRow BiplotMDPREF PlotCanonical RotationProcrustes RotationR-squareMatrix: %s cleared.Matrix: %s does not exist.Before you state the DELETE command, SHOW or DIR or ...
the matrix whose rows you want to delete.# %ld  --  Matrix: %s has %ld rows and %ld columns.             Pointers: %8ld%8ld%8ld%8ld%8ldBefore you state the DROP command, SHOW or DIR or ...
the matrix whose columns you want to drop.Before you state the LET command, SHOW or DIR or ...
the matrix you want to modify with the LET command.Matrix: %s has been saved.Before you state the SELECT command, SHOW or DIR or ...
the matrix whose rows you want to select.********** Active Matrix: %s ******************** Active Matrix:  n  o  n  e  **********\nMatrix: %sCurrent program limits:
     Number of MATRICES = %ld.
     Number of row and column NAMES = %ld.
     Number of NUMERIC data elements = %ld (%ld bytes).
     Number of CHARACTER data elements = %ld (%ld bytes).BY group information has been cleared. No BY groups are in effect.The BY command is invalid in MATRIX.Use the DIR command instead of the NAMES command in MATRIX.ROWNAMES$The maximum number of matrices has been increased.The maximum number of ROWs and COLUMNs has been increased.The maximum number of NUMERIC values in matrices has been increased.The maximum number of CHARACTER values in matrices has been increased. \nObserved Frequencies
==================== \n   Parameter   SE(Param)    Param/SE
   =========   =========    ======== \nCovariance matrix of the parameters
=================================== \nCorrelation matrix of the parameters
==================================== \nExpected Values
=============== \nDeviations = Observed-Expected
============================== \nStandardized Deviates = (Obs-Exp)/sqrt(Exp)
=========================================== \nPearson Chi-square = (Obs-Exp)^2/Exp
==================================== \nLikelihood Ratio Deviance = 2*(Exp-Obs+Obs*log(Obs/Exp))
======================================================== \nFreeman-Tukey Deviates = sqrt(Obs)+sqrt(Obs+1)-sqrt(4*Exp+1)
============================================================ \nContribution to log(likelihood) = -Exp+Obs*log(Exp)-log(gamma(Obs+1))
===================================================================== \nLog-Linear Effects (Lambda)
=========================== \nStandard Error of Lambda
======================== \nLambda / SE(Lambda)
=================== \nMultiplicative Effects = exp(Lambda)
==================================== \nTerm tested         The model without the term      Removal of term from model
                  ln(MLE)   Chi-Sq   df  p-value       Chi-Sq   df  p-value
---------------  --------- -------- ---- --------     -------- ---- -------- \nTerm tested         The model without the term      Removal of term from model
 hierarchically   ln(MLE)   Chi-Sq   df  p-value       Chi-Sq   df  p-value
---------------  --------- -------- ---- --------     -------- ---- -------- 
The solution found to this problem is not unique.
This may be because
  --  some rows, columns or marginals of the frequency table
      are proportional to one and other, or
  --  the number of parameters is more than the number of
      non-structural-zero cells, or
  --  the program failed to find the correct solution to this problem.        *  indicates structural zero cells Model ln(MLE):%10.3f%12s . %10.3f%9.2f%5ld%9.4f    %9.2f%5ld%9.4f* %12s* %12s %10.3f%9.2f%5ld%9.4f    %9.2f%5ld%9.4f \nThe%3ld most outlandish cells (based on FTD, stepwise):
======================================================Did not converge after %4ld iterations \nNumber of cells (product of levels):%5ld    Number of structural zero cells:%5ld                        Total count:%9ldPearson ChiSquare%11.4f  df%5ld  Probability%9.5f     LR ChiSquare%11.4f  df%5ld  Probability%9.5f
    Raftery's BIC%11.4f
    Dissimilarity%11.4f                                       %39s  ln(MLE) LR_ChiSq  p-value Frequency  %39s--------- -------- -------- ---------%39sThe %3ldth ZERO CELL is ignored -- one of its index is out of range.Did not converge after %ld iterations. At the last iteration
      the relative change in the log-likelihood was %12.7f
      the largest relative change of parameters was %12.7f \nEstimates have been saved. \nLambdas have been saved.       THETAOBSERVED    EXPECTED     CSRESID     LRRESID     FTRESID     LLRESID    CELLUSED       INDEX(1)    INDEX(2)    INDEX(3)    INDEX(4)    INDEX(5)    INDEX(6)    INDEX(7)    INDEX(8)    INDEX(9)    INDEX(10)  LAMBDA    SELAMBDA       RATIO     EXPLAMB    Total is zero. Nothing to estimate.Variable %12.12s has fewer than two levels.
Remove it from the model and re-run this problem.  
Paired samples t test on %s vs %s with %ld cases
    Mean %-12.12s = %-12s
  Mean %-12.12s = %-12s    Mean Difference = %-12s   %.2lf\% CI  = %-12s to %-12s      SD Difference = %-12s                        t = %-12s                                         df = %5ld    Prob = %-12sInsufficient data for test.  
Two-sample t test on %s grouped by %s
    Group                N         Mean           SD  
     Separate Variance t = %-12s df = %6.1f    Prob = %-8s  
       Pooled Variance t = %-12s df = %4ld      Prob = %-8s                                   Dunn-Sidak Adjusted Prob = %-12s                                   Bonferroni Adjusted Prob = %-12s  
One-sample t test of %s with %ld cases;   Ho: Mean = %s
       Mean = %-12s             %.2lf\% CI  = %-12s to %-12s
       SD = %-12s                                  t = %-12s  
The grouping variable has more than two distinct values.
Only the first two values encountered in the data will be used.
       Difference in Means = %-12s   %.2lf\% CI = %-12s to %-12sLag distribution ofCases having negative weights processed as missing.Cases having zero weights processed as missing. 
Standard error of regression: %lfAnalysis is weighted by %sSum of weights = %s 
Input records: %sRecords kept for analysis: %sRecords deleted for missing data: %sRecords deleted for missing incomplete data: %s 
Instrumental variables, OLS results (TSLS)Covariance matrix of %s regression coefficients
 Expanding covariate PDL system...Not enough memory to recover covariate PDL system. 
Instrumental variables, heteroscedastistic consistent results (2SIV)Expanding covariate PDL system... 
Ordinary least squares results (OLS)Model contains no constant. 
Expanding for covariate PDL groups... 
Covariate transformation matrix
  
Instrument transformation matrix
                                      Lag  Coefficient         S.E.  T-Statistic--------------- Begin Model Dump ---------- --------------- End Model Dump ----------Unrecognized text.
SYSTAT expected a number, lagged variable or ordinary variable.SYSTAT expected a number enclosed in < and > characters.
For example,
<10>SYSTAT expected a >.Retaining existing restrictions. Room for %ld additional restrictions.Not enough memory to recover covariate PDL system.MODL(2) not equal to zero but equal to %ld. 
Heteroscedastic consistent results 
N: %ld, mean of dependent variable: %lfR-squared: %lfAdjusted R-squared: %lf, uncentered R-squared (R0-squared): %lf 
F(%ld,%ld) = %lf, prob= %lfRegression sum of squares: %lfResidual sum of squares: %lf 
Covariance matrix of regression coefficients
  
Unrestricted System 
Restricted System 
Specification test           statistic          df      p-value 
Heteroskedastic consistent results 
Heteroskedastic consistent covariance matrix of regression coefficients
  
Expanding for covariate PDL groups...No latent variables were found in the model. 
There are %ld manifest variables in the model. They are: 
There are %ld latent variables in the model. They are:%ld options took default values.Variance paths for errors were omitted from the job specification
and have been added by RAMONA.Variances and covariances of exogenous manifest variables were omitted
from the job specification and have been added by RAMONA. 
Number of manifest variables             = %4ld
Total number of variables in the system  = %4ld.Computing mean vector...Computing covariance matrix and fourth order moments...Computing mean vector and covariance matrix...           Overall kurtosis = %s
                 Normalised = %s
                   Relative = %s 
 
 
 
                    Individual
         Variable     kurtoses   Normalised     Relative     %+12.12s %+12.12s %+12.12s %+12.12s 
 
Smallest relative pivot of covariance matrix of sample
covariances = %s                       Details of Iterations       
  Iter    Method  Discr. Funct.  Max.R.Cos.   Max.Const.   NRP   NBD
-------- ------- -------------- ------------ ------------ ----------  Temporary change to ols since sigma is not positive definite %7ld %7ld %+7.7s %+14.14s %7ld %+7.7s %+14.14s              %+12.12s %4ld(%1ld) %+7.7s %+14.14s %+12.12s              %4ld  %4ld %4ld(%1ld) %+7.7s %+14.14s %+12.12s %+12.12s %4ld  %4ld 
Iterative procedure complete.
  
Convergence limit for residual cosines = %s on %ld consecutive
iterations. 
Convergence limit for variance constraint violations = %s
Value of the maximum variance constraint violation = %s
 Sample Covariance Matrix :Sample Correlation Matrix : 
Number of cases = %ld.
  
Reproduced Covariance Matrix : 
Reproduced Correlation Matrix : 
Residual Matrix (covariances) : 
Residual Matrix (correlations) : 
 
Value of the maximum absolute residual = %s
 
  
 Measures of fit of the model
 ----------------------------
 Sample Discrepancy Function Value                : %s  (%s) 
 Population discrepancy function value, Fo
 Bias adjusted point estimate                     : %s
 %5.3lf percent confidence interval               :(%s,%s)
 
 Root mean square error of approximation
 Steiger-Lind : RMSEA = SQRT(Fo/df)
 Point estimate                                   : %s
 %5.3lf percent confidence interval               :(%s,%s)
 
 Expected cross-validation index
 Point estimate (modified aic)                    : %s
 %5.3lf percent confidence interval               :(%s,%s)
 CVI (modified AIC) for the saturated model       : %s
 
 Test statistic:                                  : %s
 Exceedance probabilities:-
 Ho: perfect fit (RMSEA = 0.0)                    : %s
 Ho: close fit   (RMSEA <=%+12.12s)           : %s 
 Multiplier for obtaining test statistic  = %s
 Degrees of freedom                       = %ld
 Effective number of parameters           = %ld           %s Estimates of Free Parameters in Dependence Relationships
                                        Point    %5.2lf% Conf. Int.  Standard   T
              Path        Param #    Estimate     Lower     Upper     Error  Value
---------------------------------    --------  ------------------   -------  ----- 
             Path         Param #    Estimate
---------------------------------    --------%+12.12s  <- %+12.12s %3ld %+2.2s%s                      %s%+12.12s  <- %+12.12s %3ld %+2.2s%s %s %s %s%s%+12.12s  <- %+12.12s   %3ld %s  %s 
  * Denotes a parameter value on a boundary 
 ** Denotes a redundant parameter 
 
Scaled Standard Deviations (nuisance parameters)
 
           Variable     Estimate
         ------------ ------------         %12.12s %s 
      Values of Fixed Parameters in Dependence Relationships
 
                     Path                    Value
         ---------------------------- ------------         %12.12s <- %12.12s %12s%s
%s estimates of free parameters in variance/covariance relationships
 %+12.12s <-> %+12.12s %3ld %+2.2s%s                     %s%+12.12s <-> %+12.12s %3ld %+2.2s%s %s %s %s%s%+12.12s <-> %+12.12s %3ld %+2.2s  %s 
Values of Fixed Parameters in Variance/Covariance Relationships
 
             Path                    Value
----------------------------- ------------%12.12s <-> %12.12s %s 
                    Equality Constraints on Variances
 
                                                  Lagrange         Standard
         Constraint                  Value      Multiplier            Error
----------------------------  ------------    ------------     ------------%12.12s <-> %12.12s %12s              **               **%12.12s <-> %12.12s %12s    %12s     %12s 
 ** Denotes a redundant constraint 
Maximum Likelihood Discrepancy Function%s Discrepancy FunctionSample Discrepancy Function Value                : %s 
 
Generalized Least Squares Discrepancy FunctionLarge sample correlation matrix of the estimators: 
 
 Initial value of parameter number %ld with
 value = %s is out of the range %s to %s. 
 
Negative number of parameters or constraints: %ld %ld 
 
Incorrect bounds on parameter %ld %s < %s < %s 
 
%ldth diagonal element of information matrix < %s 
 
Incorrect bounds on Lagrange Multiplier %ld %s < %sNCASES option ignored. NCASES required only with matrix input.Computing kurtosis coefficientsDATA option ignored. You cannot redefine the input data here.
    Your use file contains %s.The OUTPUT option has set PRINT=%s.No cases were found to process. 
RAMONA options in effect are:
    Display               %s
    Method                %s
    Start                 %s
    Convg                 %lf
    Maximum iterations    %ld
    Number of cases       %s
    Restart               %s
    Confidence Interval   %lfReading correlation matrix...Reading covariance matrix...Computing ADF weight matrix...The design matrix has been saved.
  
          Generators for the Requested Design
                Factor %ld = %s. 
          Interaction Term(s) for Each Pair of Columns 
          Column Column%s
 Full%2ld-Level Factorial Design:%5ld Runs, %3ld Factors  Box-Hunter Fractional 2-Level Design:%4ld Runs,%3ld Factors,  Resolution = %1ld  Box-Hunter Fractional 2-Level Design:%4ld Runs,%3ld Factors,  Full Resolution  Taguchi Design L%1ld:%3ld Runs;%3ld Factors, Each With%2ld Levels  Taguchi Design L%2ld:%4ld Runs;%3ld Factors, Each With%2ld Levels  Taguchi Design L18:%4ld Runs; 8 Factors, 1 With 2 Levels, 7 With 3 Levels  Taguchi Design L'32:%4ld Runs; 10 Factors, 1 With 2 Levels, 9 With 4 Levels  Taguchi Design L36:%4ld Runs; 23 Factors, 11 With 2 Levels, 12 With 3 Levels  Taguchi Design L'16:%4ld Runs; 5 Factors, Each With 4 Levels  Plackett-Burman Design:%4ld Runs;%3ld Factors, Each With%2ld Levels  Latin-Square Design:%3ld Factors, Each With %2ld Levels  Latin-Square by Run:%4ld Runs;%3ld Factors, Each With %2ld Levels 
               Factor 2    Factor 1 %s
     %6ld   %s  Box-Behnken Design:%4ld Runs;%3ld Factors, Each With%2ld Levels  Lattice Mixture Design:%4ld Runs;%3ld Factors, Each With%3ld Levels  Centroid Mixture Design:%4ld Runs;%3ld Factors, Each With%3ld Levels  Axial Mixture Design:%4ld Runs;%3ld Factors, Each With%3ld Levels  Screening Mixture Design:%4ld Runs;%3ld Factors, Each With%3ld Levels 
               Factor 
                  Factor 
           Factor 
              Factor        Run  %s
       Run Block %s
     Run  %s
   Run Block %s
        %4ld  %s     %4ld%4ld   %s   %4ld %s %4ld%4ld   %s       %4ld   %s     %4l%4ld   %s   %4ld  %s %4ld%4ld   %s        %3ld  %s  Taguchi Design L54:%4ld Runs; 26 Factors, 1 With 2 Levels, 25 With 3 LevelsYou have not saved your work.
Do you want to save your work
before leaving the editor?SYSTAT EDITOR%ld cases have been saved into a SYSTAT fileThere were %ld cases with transformation
errors detected.You cannot LIST the Editor's data matrix.You cannot TRANSPOSE the Editor's data matrix.This command will cause the CUT variables to be lost.
Do you want to PASTE before this command ?BY command is ignored in the Editor.Do you want to save changes to the data?You cannot change data in (a) cell(s) involved in a SELECT. 
Iterative Conjoint Analysis
 Monotonic Regression ModelLinear Regression ModelLogarithmic Regression ModelPower Regression ModelData are dissimilaritiesData are ranksLoss function is Kruskal STRESSLoss function is 1-(1+tau)/2Loss function is least squaresConvergence Criterion: %lfMaximum Iterations: %5ld 
Iteration  Loss
---------------  %4ld    %8.7lf 
Computed Exponent: %s 
Parameter Estimates (Part Worths)Factors and Levels 
Market Share 
Predicted Values 
Goodness of Fit (Kendall tau) 
Goodness of Fit (Pearson correlation)   %12s     %12sUtilities PlotCoefficients have been savedxSYSTAT.EXEMAPSYMDLL22705&2<;28,99:#!2 $%.%8),-*$>'	

!"#$%&'()*+,-./0123456789:;<=>?	

xXxUnable to understand what you mean about here:\n%s\n%sYou cannot write to a file you are reading from.Out of memory.Incorrect file assignment.  No assignment made.Illegal value for subscript.You are trying to process character data.File types (rectangular, correlation, etc.)
do not agree for input data.You are trying to process the wrong kind of
data (%s) for this procedure.No numerical variables in file to process.You are trying to read an empty or nonexistent file,
or your file is in a different directory.One of your BY-group variables is not sorted.Unexpected end of file encountered.You have not given an input file with USE command.You cannot have more than five nested INCLUDE files.The file you specified is an improper type to FEDIT.Error occurred invoking or exiting FEDIT.DOS V2.0 or later required to run FEDIT.Error in reading or writing temp FEDIT file.FEDIT found disk to be full.Execution interrupt ... Please press enter keyExecution interrupt.Macros cannot be nested.Invalid DOS version.Unable to create a temporary file.The system will not permit you to WRITE to this file.The system will not permit you to READ from this file.Could not open the help file.  It is probably busy
or you do not have permission to read it.There is not enough memory to be able to resize the screen buffer to
hold %ld bytes of information.
Frequencies cannot total to more than 2,147,483,647The SAVE file you've specified is marked READ ONLY.
You must save to another file.%s is not a valid SYSTAT command:\n%s\n%s%s is not a valid SYSTAT keyword:\n%s\n%sAbout here SYSTAT expects a character variable:\n%s\n%sAbout here SYSTAT expects a numeric variable:\n%s\n%sAbout here SYSTAT expects an array variable:\n%s\n%sAbout here SYSTAT expects a character string:\n%s\n%sAbout here SYSTAT expects an integer value:\n%s\n%sAbout here SYSTAT expects a real numeric value:\n%s\n%sAbout here SYSTAT expects a special character:\n%s\n%sAbout here SYSTAT expects a valid file name:\n%s\n%sAbout here SYSTAT expects an end to the command:\n%s\n%sAbout here SYSTAT expects a variable name:\n%s\n%sInsufficient available memory for problem.A bundle name cannot match a variable name.Only one variable type (numeric or character)
is allowed in a single command. Command ignored.Slash character on case %.0f will be converted to blank.Non-ASCII character on case %.0f will be converted to blank.Unable to add a subscript to the variable %s;
the variable name is too long.Unable to add a subscript to the variable %s;
either the variable name is too long, or the
subscript (%.0f) is too large.Unable to add more variables to the list because of insufficient memory.Memory error freeing block.  Please call SYSTAT technical support
at (312)-494-3283.Error in nested designs.  Please call SYSTAT technical support
at (312)-494-3283.The USE file %s is not a SYSTAT file,
or it is damaged.  Please specify another file.You must specify * or > or # or a file name for the FEDIT commandThere is no SYSTAT output file currently openSYSTAT cannot EDIT an open file.Only one variable type (numeric or character) is allowed in a single
command. Command ignored.'/' expected.Statistical processing error.  Please call SYSTAT technical support
at (312)-494-3283.SYSTAT encountered too many levels (%.0f) of a categorical variable.
The maximum number of levels is %0.f.Insufficient available memory to accumulate categorical data information.Internal error %ld occurred while accumulating BY group values.Insufficient available memory to accumulate by group values.Cut point variables can only be numeric.Insufficient available memory to process CUT command.
Command ignored.Insufficient available memory to process BY command.
Command ignored.You are trying to process the wrong kind of data.
This procedure requires rectangular data.Frequencies cannot total to more than %.0lf.Case %.0lf frequency value exceeds maximum allowed.
Values cannot exceed %.0lf. Case ignored.Maximum number of cases exceeded.
You may not have more than %.0lf cases.Insufficient memory to start or restart SYSTAT.Insufficient memory to add bundle "%s".
You do not have sufficient available RAM to continue!
Please exit from SYSTAT to the operating system and start over.Too few numeric variables for procedure.End of line was expected but "%s" was encountered.
Please issue the command again.Memory length of 0 was requested for allocationMemory length of 0 was requested for reallocationInsufficient available memory to sort categorical values.
SYSTAT cannot continue.Unrecognized sort option "%s". Valid options are:
      MISSING, PAGE, ASCENDING, DESCENDING, NOSORT
      The gratuitous SNORT option of course is allowed.Insufficient available memory to generate design variables.
SYSTAT cannot continue.Numeric variable expected as dependent variable.Too many dependent variables.Numeric variable expected as independent variable.Too many independent variables.Numeric variable expected for frequency.Numeric variable expected for weight.You may not assign variable and value labels to numeric and character
variables simultaneously.Unrecognized LABEL option "%s".
SYSTAT expected a value label enclosed in quotes.A variable or list of variables is required for the LABEL command;
instead "%s" was encountered.Unrecognized variable name "%s".
SYSTAT expected a variable name.Unrecognized ORDER option "%s". Valid options are:
      DATA | LABELS
      MISS | NOMISS
      SORT = NONE | ASCENDING | DESCENDING | FASCENDING | FDESCENDING |
                   a specific sequence on which to sort (such as 3 1 2)Errors prohibited SYSTAT from evaluating LABEL expressions.Insufficient available memory to process LEVELS command.
Command ignored.%s does not support BY group analysis.
By groups have been disabled.Only rectangular data can have categorical variables.Dependent variables cannot be categorical.End of line not expected.Unable to open the standard printer (%s)
for SYSTAT output.  Please check the printer
specification and the status of the printer.Unable to open the file %s for SYSTAT output.Unknown option (%s) given for the OUTPUT command.
Allowable options are:
    ERRORS, WARNINGS, COMMANDSPlease note: sending %s output to the
%s may not be appropriate.The %s file %s specified does not exist.
Please enter another file name.The option %s is not valid for the FPATH command.
\nValid options are:
DISPLAY, PRINTER, GRAPHICS, OUTPUT, LOG,
BATCH,   USE,     SAVE,     GET,    PUT,
SUBMIT,  FEDIT,   IMPORT,   and     EXPORTThe options:
%s
are not valid for the FPATH command.
\nValid options are:
DISPLAY, PRINTER, GRAPHICS, OUTPUT, LOG,
BATCH,   USE,     SAVE,     GET,    PUT,
SUBMIT,  FEDIT,   IMPORT,   and     EXPORTError reading further commands from file %s.
Returning control to the keyboard.Insufficient available memory to read command line.
SYSTAT cannot continue.The type of data (rectangular, correlation) in your data file cannot
be determined; this procedure cannot process the data.Character variables must be identified with the CATEGORY command.
Issue the appropriate CATEGORY command and try again.Different categorical coding strategies (e.g., effects vs. dummy) can
produce different results.  Use CATEGORY <varlist> / EFFECTS for
effect coding and CATEGORY <varlist> / DUMMY for dummy coding.The file %s has already been opened for output
and cannot have other information written to it.The file %s was read for processing, and
its contents have been replaced by saving
the processed data into it.The file %s has already been opened for output;
you cannot read any information from that file.Unable to open the file %s for SYSTAT input.Insufficient memory to USE the file: %s.Hypothesis commands are valid only when you are doing hypothesis testing.Unable to open the file "%s" for FEDIT.The command "%s" is not allowed
during hypothesis testing.Unable to open the file %s to
submit SYSTAT commands.Invalid LABEL value or range "%s".
A single value or range of values was expected.Insufficient memory for LABEL command.Unable to allocate enough memory for this command.Error while deallocating memory.
Please call SYSTAT technical support (312-494-3283).Error in INPUT FORMAT.All varibles are asked to be dropped.  Request ignored.For KEY-MERGE both files must be sorted.The MERGE KEY is not a variable of one of the files.Sort error.
Please call SYSTAT technical support (312-494-3283).Variables do not match.Implied list ( .. notation ) error.Variable subscript error.List contains too many variables.A variable named is not a variable of the file.Unable to execute the DOS call because either the argument is too long
or your system's environment space is too large.Unable to find or run COMMAND.COM in order to execute the DOS command.Not enough low memory is available to execute the DOS command.Unable to execute the DOS command.Insufficient memory to create categorical variables for QuickPlot.Insufficient memory to create categorical variables for plot.Invalid CATEGORY option "%s". Valid options are:
      EFFECTS, DUMMY, UNWEIGHTED, WEIGHTED, MISS
All modules do not suppport all coding strategies. See the documentation
for details specific to particular modules.Syntax error in values to label. Character values must be quoted.
The error was encountered with the following text:
"%s"There are more variables to list than specified in the format.You must give a file name for %s output.Unable to open or read the SYSFILE.LNK file -- the file may
be damaged.You cannot %s while BASIC statements are pending.
Reissue this statement after the BASIC statement RUN.Invalid file type requested.File not found.No data found in requested range.Error creating new SYSTAT file.Unable to read input file.Insufficient memory to IMPORT the file.LOTUS spreadsheet was stored in other than row and column order.Requested named range for the LOTUS spreadsheet was not found.dBase IV file was apparently encrypted.Requested cases (records) were missing.Error creating destination file.Unable to read file.Insufficient memory to export the file.Invalid precision of @0 file.None of the requested variables were found in the file.You cannot use a backslash format character when a USE file is in effect.Value was too large for a dBase field; number truncated.Zero value found for variable NP (# points) in map file.The options for your export statements are either incomplete or incorrect.Invalid ID value.Invalid NP value.Duplicate variable names found.Formula found, value may be inaccurate.String value found for a numeric variable; missing value insertedNumeric values found in string variable; values converted to strings.Values outside range allowed for @0 found; missing values were inserted.Requested field name(s) not found.Requested columns or rows (records) were missing.Memo field in dBase file was not converted.dBase logical field converted to a character variable.Too many variables.Zero id value found; will use next non-zero value.Variable names created, modified or shortened.Too many cases.Invalid precision in SYSTAT file.A variable or list of variables is required for the ORDER command;
instead "%s" was encountered.You must specify a valid SYSTAT module to SWITCHTO.The path
    %s
does not exist.  Please reenter your FPATH statement.An error has prevented the preferences
from properly being saved.Unable to open a temporary file for spooling network output.The drive %s is not valid.
Please reenter your FPATH statement.No cases left after SELECTion and exclusion due to missing values.Case %.0lf of the first file is out of order.
For KEY-MERGE both files must be sorted.Case %.0lf of the second file is out of order.
For KEY-MERGE both files must be sorted.You must EXIT from EDIT before entering the menus.
Please save your work, then type
      EXIT
      MENU
at the command prompt.You must give a file name into which to save selected cases:
         EXTRACT  filenameThe drive %s for your SAVE file is not valid.
Please reenter your command.The path
    %s
for your SAVE file does not exist.  Please reenter your command.Unable to create a temporary file for a SAVE command.
Please check and reenter your last command.Unable to open enough temporary files to SORT.SYSTAT cannot import WK3 files.  Use WK2 or older for LOTUS.Stepping commands are not allowed when BY groups are in effect.
You could SELECT for each by group, and then use the stepping
commands for each group.Unable to open the file
    %s
probably because of a network conflict.Permission to open the file
    %s
was denied, probably because of a network conflict.Unable to open the EXPORT output file.Access denied; unable to open the EXPORT output file.A floating point error occurred in the statistical code.
Stopping execution of the command stream.A floating point error occurred in the statistical code.Unable to open the file
    %sThere must be an open SYSTAT data file to be able to EXPORT.Unable to IMPORT the file type:
    %sUnable to interpret the ROWS option for IMPORTUnable to interpret the COLS option for IMPORTUnknown option %s for the IMPORT commandUnable to parse the file name for the IMPORT commandUnable to properly SAVE the IMPORT fileUnable to parse the file name for the IMPORT commandUnknown file type for EXPORT:
    %sError reading MAP file %s.
Unable to complete map file import.Error writing MAP file %s.
Unable to complete map file import.SYSTAT requires a positive integer in the previous command.Mapping requires a file created in SYSTAT's map format,
with the same name as the file that you have used, but
with the .MAP extension.  The file
    %s
could not be found.Unable to write to the file:
    %s
It is apparently read-only.
Please resubmit your Save command
with a new file name.No data file is open; the %s command cannot be run.Unable to properly write to the SAVE fileAbout here SYSTAT expects a close parenthesis.SYSTAT does not accept long file names.
    %s
cannot be processed; please enter another file name.The extension for the file:
    %s
is too long; SYSTAT cannot process it.
Please enter another file name.Execution interrupt.  Processing for the
%s command was not completed.Unable to properly write a temporary file for %s.Unable to properly read a temporary file for %s.Unable to reuse a SYSTAT temporary file in SORT.Unable to close a SYSTAT temporary file in SORT.Unable to open files because of damage to one or more of SYSTAT's components.The SYSTAT data file
    %s
has been damaged and cannot be openedThe file
    %s
is not part of the SYSTAT demo package and cannot be opened.The %s command is not allowed in the SYSTAT demo version.Formula was found; the value returned may be inaccurate.
Some records were missing in the source file.Formula was found; the value returned may be inaccurate.
Numeric values were found in a string variable;
values were converted to strings.Formula was found; the value returned may be inaccurate.
String values were found in a numeric variable;
missing values were inserted.An error occurred when trying to save your file; the save
has been stopped.  The original data file is unchanged.This version of SYSTAT allows only 100 variables.This version of SYSTAT allows only 1000 cases.This version of SYSTAT allows only 1000 cases.
Only the first 1000 cases will be used.You may only save 1000 cases with this version of SYSTAT.You may only save 100 variables with this version of SYSTAT.You must define a MODEL before using ESTIMATE.The command to submit a BMDP input file is:
    SUBMIT filename /BMDP=proc
where  'proc'  is the BMDP procedure to use for the input file.Unable to load BMDP for further processing.The SAMPLE option is only valid for the ESTIMATE command.The data for the uniform random distribution function URN
cannot be calculatedThe data for the normal random distribution function ZRN
cannot be calculatedThe data for the t random distribution function TRN
cannot be calculatedThe data for the F random distribution function FRN
cannot be calculatedThe data for the chi-square random distribution function XRN
cannot be calculatedThe data for the gamma random distribution function GRN
cannot be calculatedThe data for the beta random distribution function BRN
cannot be calculatedThe data for the exponential random distribution function ERN
cannot be calculatedThe data for the logistic random distribution function LRN
cannot be calculatedThe data for the Studentized random distribution function SRN
cannot be calculatedThe data for the Weibull random distribution function WRN
cannot be calculatedThe data for the binomial random distribution function NRN
cannot be calculatedThe data for the Poisson random distribution function PRN
cannot be calculatedThe SAMPLE option is not allowed when BY groups
are in effect, and will be skipped.Variable names cannot be included in quotes.Out of memory for transformations.This version of SYSTAT allows only %.0lf cases in a file.Illegal value for subscript.You cannot transpose a file containing character data.A variable in your subset does not exist in the file.Number of format items does not match number of variables.Input past end of record.  Check your format.For a triangular matrix the number of rows must be a multiple of
the number of columns.Unmatched or nested for-next loop.You have already used a file.
Stay with what you have or start again with the NEW command.You may append only rectangular files.Labels do not match in the files you are appending.Go to jumps out of range of program.Too many cases to rank.Duplicate variable names found.You are using an uninitialized variable.  Its value will be set to missing.You have used up your Editor variables space.Missing value in FOR-NEXT or GOTO index.A variable label must begin with a letter.
It can contain only letters and numbers.A character variable can be read in at most %ld columns.  Redo input sentence.<not used>Unexpected data for case %ld at end of this line:
%s
This may result from character data in numeric field or vice versa.A DIMENSION statement must be for a new variable.You cannot specify INPUT variables twice in one data paragraph.
Settle for what you have or start again.Illegally transformed values set to missing on %ld cases.Unmatched parentheses in transformation statement.Invalid file type requested.File not found.No data found in requested range.Error creating new SYSTAT file.Unable to read input file (file may be damaged or of incorrect type).Insufficient memory to import the file.Lotus spreadsheet was stored in other than row and column order.Requested named range for a Lotus spreadsheet was not found.SYSTAT file not found.Requested cases (records) were missing.Error creating destination file.Unable to read SYSTAT file (file may be damaged or missing).Insufficient memory to export the file.Invalid precision in the SYSTAT file.None of the requested variables were found in the SYSTAT file.You cannot use a backslash format character when USE file is in effect.You must SAVE to a file before IMPORTing.Zero value found for variable NP (# points) in MAP file.Unmatched for statement in BASIC program.Unmatched NEXT statement in BASIC program.You cannot nest FOR-NEXT loops more than 10 deep.Unexpected end of file found for case %ld.Your program contains an infinite GOTO loop.You cannot GOTO a statement inside a FOR-NEXT loop.You've hit Wilkinson's magical missing message!Unrecognized TYPE option "%s". Valid options are:
      RECTANGULAR, SSCP, COVARIANCE, CORRELATION, DISSIMILARITY,
      SIMILARITYUnrecognized DIAGONAL option "%s". Valid options are:
      PRESENT, ABSENTInvalid random number seed "%s".
The seed must be an integer.Invalid number(s) for DELETE "%s".
The number must be an integer.Invalid number for REPEAT "%s".
The number must be an integer.No cases were processed, so that no data file was created.There are no pending transformations; the
RUN command is not needed here and will be skipped.Variable names cannot be included in quotesOut of memory for transformations.This version of SYSTAT allows only %.0lf cases in a file.Illegal value for subscript: %.0lf<not used>You cannot transpose a file containing character data.<not used>A variable in your subset does not exist in the file.Number of format items does not match number of variables.Input past end of record. Check your format.<not used>For a triangular matrix the number of rows must be a multiple of
the number of columns.Unmatched or nested FOR-NEXT loop.<not used>You have already used a file.You may append only rectangular files.Labels do not match in the files you are appending.GOTO jumps out of range of program.Too many cases to rank.Duplicate variable names found.
To be safe, start again with the NEW command.Warning: You are using an uninitialized variable.
Its value will be set to missing.You have used up your Editor variables space.Missing value in FOR-NEXT or GOTO index.Too many "(" or too few ")".A variable name with subscript may be at most 12 characters long.Variable name is too long; may be at most 12 characters.A variable label must begin with a letter. It can contain only
letters, numbers, parentheses, and dollar signs.
A dollar sign may appear once at the end of the variable name
only for character data.A variable name is misspelled in the ARRAY statement.<not used>A character variable can be read in at most %.0lf columns.
Redo INPUT sentence.You are not ready to read data.
Be sure you have correctly entered INPUT, REPEAT and/or USE statements.Unexpected data for case %.0lf at end of this line:
%s
 
This may result from character data in a numeric field or vice versa.A dimension statement must be for a new variable.You cannot specify INPUT variables twice in one DATA paragraph.
Settle for what you have or start again.WARNING: Illegally transformed values set to missing on %.0lf cases.Unmatched parentheses in transformation statement.Unmatched FOR statement in BASIC program.Unmatched NEXT statement in BASIC program.You cannot nest FOR-NEXT loops more than 10 deep.Unexpected end of file found for case %.0lf.Your program contains an infinite GOTO loop.You cannot GOTO a statement inside a FOR-NEXT loop.Key variable merges are limited to two files.SYSTAT expected a ")".
"%s" was encountered instead.Closing parenthesis missing.Unrecognized variable name "%s".Too many variables.  You are allowed up to %.0lf.DATA statistical processing error. Please call SYSTAT
technical support (312-494-3283).Insufficient available memory for problem.Insufficient available memory to start DATA.Invalid LRECL value.Expected end of USE command but encountered "%s".
You are allowed up to %.0lf key merge variables.Insufficient memory for problem.APPEND files do not match in number numeric and character variables.Variable names from %s
differ from other files being appended.A numeric value was expected but "%s" was encountered.An equal sign was expected but "%s" was encountered.Variable names created, modified or shortened.To INPUT data you need to state a GET statement that names a file.You stated a GET statement but did not give an INPUT command.While defining variable names, the '..' notation may only be used
        in subscripts, after an integer, e.g: A(1 .. 5)
        or after a subscripted variable, e.g: A(1)..A(5)While defining variable names, the notation 'a(i)..b(j)'
may only be used with 'a' identical to 'b'.In BASIC only conditional DELETE is available, of the form:
        IF (condition) THEN DELETEError reading/writing temporary file; plot cannot be completed.Not enough memory to print graph.Error writing to output device.Unable to write to printer; plot cannot be completed.Unable to write to serial port; plot cannot be completed.Unable to write to plotter; plot cannot be completed.GRAPH is unable to find the font file %s.GRAPH is unable to read the font file %s.Unable to allocate enough memory to produce the requested plot.  Please
try reducing the number of points in the plot.Unable to find the graphics driver file GRAPH.DRV.
Please reinstall SYSTAT.Unable to begin graphics output.Unable to reset from graphics to text output.Unable to draw a line to the graphics output device.Unable to set colors or fill styles for the graphics output device.Unable to properly set options for the graphics output device.Unable to properly clear the graphics output device.The HARDWARE command no longer accepts the "FILE=" option.
Use the OUTPUT command to write graphics output to a file:
      OUTPUT device = filename
For example, to route printer output to the file MYGRAPH.DAT,
use the command:
      OUTPUT PRINTER=MYGRAPH.DATUnable to find MAPNUM variable in SYSTAT file.
Your data file must contain certain variables in
able to draw a map; please see More About Map Files
in the Advanced Applications manual.Unable to find MINLAT,MAXLAT,MINLON,MAXLON variable(s) in SYSTAT file.Unable to find LABLAT,LABLON variable(s) in SYSTAT fileUnable to find help for the
graph tool in GRAPH.HLP.Your display adaptor does not support the SVGA resolution that
you've requested; please reenter.Entire contents of graph window have been printed already.
No new graph printed.There is no graph to print.Entire contents of graph window have been saved already.
No new file saved.There is no graph to save.Unable to parse the file name for the GSAVE command.Valid file types for GSAVE are: SYG, WMF, BMP, JPEG, CGM, PICT, EPS.Could not save to specified location.A problem occured during GSAVE. File not saved.Invalid CRONBACH option.  The only valid option is:
     SAMPLEInvalid STEM option.  The only valid options are:
     LINES, SAMPLEYour data do not contain two groups.There are too many cases for this version of STATS.There are too many groups for multiple comparisons. There can be at
most %f pairwise comparisons.%s is an unknown option for the SAVE command in STATS.
Valid options are:
      VARIABLES       Saves one record for every statistic requested for
                      each group in the data.
      AGGREGATE       Saves one record for each group in the data; new
                      variable names are created to combine the name of
                      the statistic with each variable nameVariable is a constant; STEM diagram cannot be produced.Variation in variable exceeds machine precision; STEM diagram cannot be produced.Unable to understand the number of lines specified for the
STEM command; the default number of lines will be used.A number in your data is larger than the maximum allowed
(%.0f) for the STEM command.  Please rescale your data.You must first use a TABulate command to make a table.Parameter error in log linear routine.Your table must have more than one dimension in order to fit a model.Not enough memory to compute summary statistics.Insufficient available memory for table.Insufficient available memory to save table.Insufficient available memory to start XTAB.Unrecognized TABULATE command option %s.  Valid options are:
     DELTA, MISSING, CONFI, LIST, and SAMPLEUnrecognized MODEL command option.Insufficient available memory to fit model.Too many cases in a cell. You may have at most %f cases in each cell.Unrecognized RUNS option "%s". Valid options are:
      CUT, SAMPLEUnrecognized KS option "%s". Valid options are:
      UNIFORM, NORMAL, t, F, CHISQ, GAMMA, BETA, EXP, LOGISTIC,
      RANGE, WEIBULL, BINOMIAL, POISSON, LILLIEFORS, SAMPLEInsufficient available memory to start NPAR.Factor contains too many levels for this version of NPAR.File contains too many cases for this version of NPAR.The cases by variables matrix is too large for this version of NPAR.The problem involves too many variables for this version of NPAR.Insufficient available memory for problem.Unrecognized SIGN option "%s".  The only valid option is:
      SAMPLEUnrecognized WILCOXON option "%s".  The only valid option is:
      SAMPLESYSTAT expected a number for the runs cutpoint.
SYSTAT encountered "%s" instead.A valid variable name must follow the asterisk (*).Unrecognized FRIEDMAN option "%s".  The only valid option is:
      SAMPLEUnrecognized KRUSKAL-WALLIS option "%s".  The only valid option is:
      SAMPLENo data left in file after deletion of missing values.Correlation matrix is not positive definite.
Individual significance tests are suspect.Insufficient degrees of freedom for global significance test.
Individual significance tests are suspect.Data must be coded as 0 or 1 to compute coefficient.Insufficient available memory to start CORR.Matrix is too large for this version of CORR.Unrecognized option "%s".
Valid options are:
       PAIRWISE, LISTWISETETRACHORIC computation did not converge.Covariance matrix is singular.Maximum iterations exceeded.Insufficient degrees of freedom.One of the variables has no variance.Unrecognized option "%s".
Valid options are:
      PAIRWISE, LISTWISE, PROB, BONFERRONI, DUNN_SIDAK, SAMPLE,
      and HADI or EM but not both,
      with HADI: TOL=#, and with EM: t=#, ITER=#, CONV=#, TOL=#Unrecognized option "%s".
Valid options are:
      PAIRWISE, LISTWISE, SAMPLE,  and   HADI or EM but not both,
      with HADI: TOL=#, and with EM: t=#, ITER=#, CONV=#, TOL=#List of variable names expected after the "*" .A nested or crossed effect in your model has 0 degrees of freedom.Duplicate term found in means model.No variance in categorical predictor %s.Unable to locate effect you have requested.Enter effect or parameter as it appears in model statement.
You must specify effect before requesting contrasts, or polynomials.You may compute contrasts only on main effects.Roundoff error in calculating polynomials.
Number and degree may be too large.If you use a constant, it must be first in model.You are not ready to test hypotheses. Model must be correctly estimated.You have requested too many interactions.
MGLH allows only %ldYou cannot use categorical variables with triangular matrix input.You have requested %ld rotations.  This is incorrect.There is no variation in your dependent variable(s).Subscript ranges not permitted for independent variables in model sentence.Insufficient degrees of freedom for test.You have entered wrong number of columns for one row.
Please reenter the entire matrix.A negative latent root has been found.You have not specified number of cases in model sentence.A matrix in your system is singular.  Check for multicollinearity
(where a variable is a weighted sum of others).You cannot use a constant with triangular matrix input.Varimax convergence not achieved after 50 iterations.End of line not expected.You have dimensioned the hypothesis matrix incorrectly.You have not specified a model.Roundoff error detected. Results may be invalid.The error command requires an effect command.You have asked for too many degrees of freedom for a contrast.
You should have at most %.0lf.
Please reenter the contrast matrix.Two values in polynomial metric are equal, cannot compute.Option only valid with the means model.Weighted analysis only valid with the means model.Invalid variable level "%s" identified.
A list of all valid levels follows.] expected.Unrecognized variable name, value or operator "%s".Constant not allowed with means model.Selected parameter estimate is not a cell or marginal mean.
Try the contrast command instead.The means model requires categorical variables.Invalid command with the means model.Invalid command with the effects model.The means model requires data in a rectangular format.Command does not support multivariate models.Variable specified is not a dependent variable.Constant is invalid with non-rectangular data.With the effects model you must enter a term from the
model previously estimated.Categorical variable has no variance.Invalid numeric value entered.Control value not encountered in data.Test requires alpha equal 0.05 or 0.01.Product of repeated measures levels must equal number of dependent variables.Non-nested terms must appear prior to nested terms
within each effect.Right and left brackets not balanced.Covariates must appear prior to nested effects.Weighted option only available with means model.The product of repeated measures factors must equal
the number of dependent variables.Unique categorical values exceed maximum number of levels allowed.
MGLH allows %ld.Marginal or cell identified has zero observations.Command only valid with repeated measures.Invalid repeated measures factor "%s" identified.
Valid levels are:
 %s
 Statistical processing or I/O error. Please call SYSTAT
technical support (312-494-3283).Invalid order for polynomial.Effect identified is not a main effect.Variable identified is not categorical.Command requires categorical variables in model.Option only valid with effects model.Option only valid with univariate models.Option limited to single degree of freedom contrasts.Command requires no missing cells in design.Invalid option with the DEPENDENTS command.Main effect required for the Dunnett test.Repeated measures factor names must be enclosed in quotes.One sided option only valid with the dunnett test.Invalid effect identified. Effect must include only categorical variables.Repeated measures factor names cannot match variable names.Missing cells encountered. Tests of factors will not appear.
Your design is too large to compute cell information and
to perform certain statistical tests. Not available are:
    - cell means, standard deviations and frequencies
    - post hoc tests
    - separate variance hypothesis testsTest requires a smaller model.Effect selected is not estimable (0 DF) or does not exist in the model.Right and left brackets not balanced.
Unable to locate effect you have requested.Missing cells encountered. Tests of factors will not appear.Option only valid with repeated measures designs.You must use the /WITHIN option of SPECIFY to testwithin subjects factors.Unrecognized STEP option "%s". Valid options are:
      ENTER, REMOVE, FORCE, FORWARD, MAXSTEP,
      BACKWARD, INTERACTIVEUnrecognized ESTIMATE option "%s". Valid options are:
      MIX, TOL, QUICK, NOQUICK, SAMPLEUnrecognized option "%s". Valid options are:
      N, REPEAT, MEANS, WEIGHT, POLY, NOPOLY, NAMES
In univariate one-way analysis of variance models, the following
options are valid:
      SCHEFFE, BONF, TUKEY, LSDOnly values greater than 1 and less than %.0lf are valid.The number of metric values must equal the number of levels.You are allowed only %.0lf repeated measures factors.N option not valid with rectangular data.Insufficient available memory to start MGLH.Insufficient available memory to do analysis.Invalid MODEL option "%s" with univariate
designs. Valid options are:
      N, MEANS, WEIGHTYou entered %.0lf columns where %.0lf were expected.
MGLH stopped reading columns when "%s" was encountered.
Reenter matrix.Separate variances tests only valid with one way ANOVA models.
Pooled variances test will follow.Separate variances tests not valid with QUICK model estimation.
Pooled variances test will follow.A matrix in your system is singular.Stepping is not permitted with multivariate models or quick
model estimation.Summary only available with after estimation of univariate
designs without the ESTIMATE/QUICK option.You must use START to initialize your model before stepping.Invalid alpha value. Value reset to %lf.Matrix input error.Matrices must be enclosed in brackets. Split degrees of freedom
with semicolons. Valid examples are:
 
    AMATRIX [1 0 0]
    AMATRIX [1 -1 0; 1 0 -1]
 
    CMATRIX [1 1 1 1]You are not ready to issue the PRIORS command. You must first identify
a categorical variable with EFFECT.SPECIFY contrasts must be enclosed in brackets. Below is an example
of a valid contrast.
   CATEGORY REGION
   ANOVA RAIN
   ESTIMATE
   HYPOTHESIS
   SPECIFY,
       [REGION[1]=REGION[2]]
   TESTFENTER and FREMOVE are only valid with regression models,
not analysis of variance.FENTER and FREMOVE options have been replaced with the default
PENTER (%.3lf) and PREMOVE (%.3lf) because categorical variables appear
in the model.You have combined F and 'p' control over model selection. Only
F or 'p' selection controls are valid together. Use either FENTER with
FREMOVE OR PENTER/ENTER with PREMOVE/REMOVE. PENTER and PREMOVE
selection is now in effect.
 
ENTER/PENTER and REMOVE/PREMOVE are equivalent: they control
'p' value selection.Unrecognized option "%s". Valid options are:
      INTERACTIVE, AUTOMATIC, ENTER, PENTER, REMOVE, PREMOVE,
      FENTER, FREMOVE
The following pairs are equivalent: ENTER/PENTER and REMOVE/PREMOVE.Insufficient memory to read effects.Invalid effect appears on the command line.You entered %.0lf effects when only %.0lf are allowed. Only the first %.0lf
effect(s) are processed.You must first estimate a model.You cannot use a variable with value labels in a model without declaring
it to be categorical with CATEGORY.An error matrix was expected within brackets.
"%s" was encountered.Unrecognized SET option "%s". Valid options are:
      MEAN, DIFF
SET specifies the maximum number of means or differences for
multiple comparison procedures.Current program limits for multiple comparison procedures are exceeded.
For this problem, if you type
      SET MEAN %.0lf DIFF %.0lf
before the HYPOTHESIS command, this multiple comparison request will be
processed.The error term (%s) is invalid for hypothesis testing.No cases were found to process.Invalid TOLERANCE value "%s".
Tolerance reset to %lf.Unrecognized FACTOR option "%s".
Valid options are:
      ERROR, HYPOTHESISUnrecognized TYPE option "%s".
Valid options are:
      SSCP, COVARIANCE, CORRELATIONUnrecognized STANDARDIZE option "%s".
Valid options are:
      WITHIN, TOTALUnrecognized PROFILE option "%s".
Valid options are:
      SUM, DIFFERENCE, POLYNOMIALInvalid or nonexistent effect number "%s" was found.
A positive integer value was expected.Results of the following hypothesis tests for the last BY group only.Insufficient memory to compute standardized coefficients in stepwise
regression.Case %s has large leverage   (Leverage = %s)Case %s is an outlier        (Studentized Residual = %s)Case %s has large influence  (Cook distance = %s)The CONSTANT cannot appear with the means model.The NAMES option must appear after the REPEAT option.You must enter repeated measures levels in parentheses.Your data file (or its contents) have changed since your model
was estimated.  Hypothesis commands are now invalid.Your data file (or its contents) have changed since model
analysis began.  Stepwise regression commands are now invalid.You cannot use stepwise with BY groupsRoundoff error detected.Negative latent root found.Varimax convergence not achieved after 50 iterations.One of your variables is a constant.There are not enough cases to perform an analysis.Scores cannot be saved with triangular matrix input.A singular matrix was encountered in the iterative process.The number of possible factors is less than 1.The GAMMA option is only valid with orthomax or oblimin.Insufficient memory to start FACTOR.You are trying to factor too many variables for this version of FACTOR.The problem involves too many cases and
variables for this version of FACTOR.Too many cases for this version of FACTOR.Unrecognized METHOD option "%s".
Mutually exclusive options are:
     PCA, IPA, MLAUnrecognized ESTIMATE option "%s".  Valid options are:
     ROTATE, COR, COV, LISTWISE or PAIRWISE, SORT, EIGEN
     NUMBER, CONV, ITER, N, METHOD, GAMMA, and SAMPLEUnrecognized ROTATE option "%s".
Valid options are:
     VARIMAX, EQUAMAX, QUARTIMAX, ORTHOMAX, OBLIMINThe GAMMA option must be set to a number. The correct syntax is:
     GAMMA = <#>The MODEL statement must specify a list of variables to be factored.You must first USE a file in order to factor variables in it.A MODEL statement must precede ESTIMATE.EIGEN, NUMBER, CONV, ITER, and N options require numeric values:
e.g. EIGEN = 1.00 , NUMBER = 3, CONV = .01, ITER=20, N=143.Maximum iterations reached prior to convergence.The type of matrix has already been set by the matrix used as input.Configuration incorrectly specified. Using default.You can use SPLIT=ROWS only with a rectangular matrix.Insufficient memory to start MDS.Too many variables in analysis for this version of MDS.Unrecognized SHAPE option "%s".
Valid options are:
      SQUARE, RECTUnrecognized LOSS option "%s".
Valid options are:
      GUTTMAN, KRUSKAL, YOUNGUnrecognized SPLIT option "%s".
Valid options are:
      ROWS, MATRIXUnrecognized REGRESSION option "%s".
Valid options are:
      MONOTONIC, LINEAR, LOG, POWERYou must use a MODEL statement first.Power regression can be used only with dissimilarity data.Only KRUSKAL loss can be used with POWER regression option.Unrecognized ESTIMATE option "%s".
Valid options are:
     DIMENSION, LOSS, WEIGHT, SPLIT, ITERATION, R,
     REGRESS, CONVERGE, and SAMPLEYou can use only SINGLE or COMPLETE LINKAGE with your type of data.Undefined distances due to missing data.You cannot use percent distance in K-means clustering.You cannot use MW (minimum within sum of squares) distance in join clustering.Insufficient available memory to complete the problem.This version of CLUSTER does not allow more than 32,000 cases.Too many cases and variables for this version of CLUSTER.Insufficient available memory to start CLUSTER.Numeric value expected for SYMBOL option.
"%s" was encountered.Error in descend. Numleaf=%.0lf.Leaf order contained the wrong number of entries.Similarity or dissimilarity matrix required for additive trees clustering.Leaf order excluded case %.0lf.Two root values were expected.
Instead "%s" was encountered.Unrecognized ADDTREE option "%s". Valid options are:
     DATA, TRANSFORMED, MODEL, RESIDUALS, NOTREE, NONUMBERS,
     SPECIFY, NOSUBTRACT, HEIGHT, MINVAR, ROOT, SAMPLEMatrix cannot contain missing data.Additive trees statistical processing error. Please call SYSTAT
technical support (312-494-3283).You must use at least three variables with additive trees clustering.Only one observation cannot support tree.Minimum tree distance not less than maximum.Index error processing cluster tree.Invalid DISTANCE option %s.  Mutually exclusive options are:
     PERCENT, GAMMA, PEARSON, RSQUARE, EUCLIDEAN,
     MINKOWSKI, CHISQUARE, and PHISQUAREInvalid LINK option %s.  Mutually exclusive options are:
     SINGLE, COMPLETE, CENTROID, AVERAGE,
     MEDIAN and WARDInvalid numeric value for the %s option.Invalid JOIN option %s.  Valid options are:
     ROWS, COLS, or MATRIX
     POLAR, DISTANCE, LINK, POW, and SAMPLEInvalid KMEANS option %s.  Valid options are:
     NUMBER, ITERATIONS, DISTANCE, POW, or SAMPLECentroid method valid only with squared Euclidean distances.Log of negative argument.  Variable is cleared.Roundoff error detected.  Estimates suspect.Iterations exceeded.  Estimates suspect.Backcasting iterations exceeded.  Estimates suspect.Model is non-stationary.Model is non-invertible.Illegal forecasting origin.Illegal values for Fourier transform.You must sort on the X variable before smoothing Y.You must specify periods per season for this model.You must specify the kind of seasonality for exponential smoothing (EXP).Not enough observations.You can only SMOOTH one variable.Insufficient memory available to start SERIES.Insufficient available memory for analyzing this problem with SERIES.There are too many cases for this version of SERIES.Unrecognized MISSING option "%s". Valid options are:
      INTERPOLATE, DELETEUnrecognized INTERVENTION option "%s". Valid options are:
      MANUAL, AUTOMATIC, AUTOREGRESSION, ITERATIONS, MOVING_AVERAGE
      PULSE, STEPThe %s option of the %s command
must be followed by a valid number.The %s option is not valid
for the %s command.The %s option is not valid for the SMOOTH command.
Valid options are:
     MEAN, MEDIAN, WT, and LOWESSThe information after the %s
command must be a valid number.The LAG must be greater than 0 and less than %.0lf.The SEASON option of the ADJSEASON command must be followed by a valid
number greater than 1.The %s option of the EXP command must
be followed by a valid number between 0 and 1.Values for the TIME command must be integers greater than 0.The first period for the TIME command cannot
be greater than the periodicity value.The CCF procedure requires two numeric variables; you have only entered
one.The %s option of the %s command
must be followed by an integer value.In the current context, the FORECAST option of the EXP command should
be followed by two integers separated by a minus sign ('-').The %s option of the %s command
must be followed by an integer
value greater than 1.You have not given an input file with USE command; SERIES commands
operate only on data from a file.Invalid DIFFERENCE option "%s".
The only valid option is:
      LAGInvalid INDEX option "%s".
The only valid option is:
      BASEInvalid TAPER option "%s".
The only valid option is:
      PInvalid LAG value "%s".
The value must be a positive numeric value.Invalid BASE value "%s".
The value must be a valid numeric value.Invalid P value "%s".
The value must be a valid numeric value.FORECAST specification error.Invalid ARIMA option "%s".
Valid options are:
      P, Q, PS, QS, ITER, BACKCAST
      SEASON, FORECAST, CONSTANT, CONVERGEInvalid tolerance value "%s".Unrecognized option "%s".
The only valid option is:
      LAGUnrecognized FOURIER option "%s".
Valid options are:
      IN, LAGUnrecognized ADJSEASON option "%s".
Valid options are:
      SEASON, ADDITIVE, MULTIPLICATIVEUnrecognized ADJSEASON option "%s".
Valid options are:
      FORECAST, SEASON, LINEAR, PERCENT, ADDITIVE,
      MULTIPLICATIVE, SMOOTHUnrecognized transformation type %s.
Allowed transformations are:
      MEAN, LOG, SQUARE, TREND
      DIFFERENCE, PCNTCHANGE, INDEX, TAPERNo transformation type was given.
Allowed transformations are:
      MEAN, LOG, SQUARE, TREND
      DIFFERENCE, PCNTCHANGE, INDEX, TAPERSeries data buffer is cleared.
Results of previous time series transfromations
(if any) are no longer in memory.
Original data will be used.\nIllegal range of function, or the LOSS function is negative
at the current values of the parameters.Roundoff error detected.  Current estimates suspect.Iterations exceeded.  Current estimates suspect.No parameters to estimate.Unrecognized ESTIMATE option "%s".
Valid options are:
      ITERATIONS, HALF, TOLERANCE, LC, PC, MARQUART_LAMBDA,
      QUASI_NEWTON, SIMPLEX, SCALE, PRINT, MINIMUM,
      MAXIMUM, START, SAMPLEEnd of line not expected.Unrecognized ROBUST option "%s".
Valid options are:
      ABSOLUTE, HUBER, HAMPEL, BISQUARE, T, TRIM, POWERToo many cases for this version of NONLIN.Too many cases and independent variables for this version of NONLIN.Insufficient available memory to start NONLIN.Insufficient available memory for problem.Illegal range of function at current parameter values.Roundoff error detected.  Current estimates suspect.No parameters to estimate.MODEL or LOSS must be stated before FUNCTION or RESET commands.Functions of parameters must have unique names.ROBUST estimation requires a MODEL without a LOSS function.
ROBUST ignored.MODEL and LOSS statements have been cleared due to LET or IF statement.You must first enter a MODEL or LOSS statement to fix parameters.Parameter name expected.
"%s" is not a parameter name.Unable to find the name of the SAVE file in order to write out
the NONLIN command file.All second derivatives of the LOSS function are zero.
Use the QN option of the ESTIMATE command.Need to ESTIMATE between the MODEL and FIX command to compute
results needed to evaluate the effect of fixing parameter(s).Number of cases to process is zero.All parameters are fixed; no confidence intervals could be saved.Number of priors is different from number of contrasts.Number of contrasts is different from the previous number of contrasts.Your data contains fewer than two groups after case
selection and exclusion of cases with missing values.Number of groups in the data differ from the number of priors.Number of groups in the data differ from the number of contrasts.You must ESTIMATE or START and STOP before you can SAVE.One or more groups are empty.Insufficient number of cases to compute estimates.One or more covariance matrix is singular.Unrecognized START option "%s".
Valid options are:
        TOLERANCE=#, FORCE=#,   ENTER=#, REMOVE=#,
        FENTER=#,    FREMOVE=#, FORWARD, BACKWARDUnrecognized MODEL option "%s".
Valid options are:
        PRIORS, QUADRATICInsufficient available memory for problem.Insufficient available memory to start DISCRIM.Invalid CONTRAST option "%s".
The only valid option is:
        CLEAR.
CLEAR restores the default set of contrasts.Predictors cannot be categorical.The %s option requires a positive value.The %s option requires a non-negative value.The value to REMOVE must be less than the value to ENTER (%f).Discriminant analysis requires a RECTANGULAR file type.Unrecognized STEP option "%s".
Valid options are:
       FENTER=#, FREMOVE=#, NUMBER=#, AUTOVariable "%s" is not in the model.You must state SE before MODEL.You must state MODEL before ESTIMATE or START .You must state MODEL before CONTRAST.You must state START before STEP.You must state START before STOP.Unrecognized ESTIMATE option "%s".  Valid options are:
     TOLERANCE=#,  SAMPLECannot STEP a variable (#%.0lf) that is not in the MODEL statement.Cannot STEP a variable (%s) that is not in the MODEL statement.Your data file (or its contents) have changed since stepwise
analysis began.  Stepwise commands are now invalid.Trimmed least squares value out of bounds (0<t<100).Too few observations to form a tree.You have not specified all sets of variables.One of your variables is a constant.You are processing the wrong kind of data.You need at least 3 items for a tree.Tree is too large to create SYSTAT BASIC program.Error expanding model.Not enough memory to print tree.You must specify N when using a correlation matrix.Model syntax error.Insufficient available memory for problem.You cannot fit a categorical tree without a CATEGORY command for
the dependent variable.Unrecognized MODEL option "%s".
The only valid option is:
      EXPYou have too many categorical values for this version of TREES.You have too many categorical values and nodes for this version of TREES.You have too many cases this version of TREES.You have too many nodes this version of TREES.The cases by variable matrix is too large for this version of TREES.Unrecognized ESTIMATE option "%s".  Valid options are:
     LOSS, NSPLIT, DENSITY, PMIN, SMIN, NMIN, SAMPLEYou have not specified all sets of variables.One of your variables is a constant.You are processing the wrong kind of data.You need at least 3 items for a POSAC.Roundoff error in calculations.Insufficient number of different profiles.Insufficient degrees of freedom for tests.Unrecognized ESTIMATE option "%s".  Valid options are:
     ITERATIONS, CONVERGE, SAMPLERoundoff error detected.Negative latent root found.Varimax convergence not achieved after 50 iterations.One of your variables is a constant.There are not enough cases to perform an analysis.Insufficient available memory to start CORAN.Insufficient available memory for problem.Too many cases for this version of CORAN.The model is too large (too many degrees of freedom) for this
version of CORAN.Unrecognized MODEL option "%s".
Valid options are:
      LISTWISE, PAIRWISESingular matrix.Singular matrix.Singular matrix.Singular matrix.No model has been defined for correspondence analysis.Unrecognized ESTIMATE option "%s".  Valid options are:
     PAIRWISE, LISTWISE and SAMPLECorrespondence analysis requires a RECTANGULAR file type.You have not specified all sets of variables.One of your variables is a constant.You are processing the wrong kind of data. The data must be rectangular,
or in the form of a correlation matrix.Invalid correlation in input matrix.Roundoff error in calculations.Singularity - variables are linear combinations.Insufficient degrees of freedom for tests.You must specify N (the sample size) when using correlation matrix.Maximum iterations exceeded.Unrecognized ROTATE option "%s".
Valid options are:
      ALL, or a positive integer valueInvalid N value.Unrecognized ESTIMATE option "%s".  Valid options are:
      N, ROTATE, and SAMPLEInsufficient available memory to start SETCOR.Model is too large for this version of SETCOR.
Reduce the size of the problem.<this error message not used>Incorrect MODEL syntax. All x, y, xpartial and ypartial variables
cleared. The correct syntax is:
      MODEL dependents = independents
      MODEL dependents | ypartial_vars = independents | xpartial_varsThe N option of the ESTIMATE command is only valid with correlation
input.With a correlation matrix you must specify the number of cases that
produced the matrix. Use the N option of ESTIMATE.The model design is inappropriate; there are not enough levels for
category %ld.Your file does not contain enough variables.The variable for the X-axis of the plot must be numerical.Input data must be coded as 0 or 1 for this chart unless the
AGG option is used, indicating already aggregated data.A lower limit cannot exceed an upper limit.Estimated population sigma is zero or unknown.Sample size must be at least 2 for this chart.Probability must be between zero and one.No usable data for this procedure.Sigma must be greater than zero.Center line must be greater than zero for this chart.An integration procedure did not converge.Sample size must be between 2 and 1000 for this procedure.Center line must be less than the sample size for this chart.Center line must be less than 1.00 for this chart.Variable to be plotted cannot be less than zero.No more than two limits may be specified for this chart.LIMIT or PLIMIT or SLIMIT not set equal to a number.Binomial count is larger than the sample size, or p > 1.Sample sizes all must be equal for this procedure.Limits cannot be negative for this chart.Input data cannot exceed 1.00 in this case.More than one entry was specified for the same sample.You may not specify both CENTER and SIGMA for this chart.Inappropriate input type for this chart.Sample size must be greater than zero.OC or ARL curves are not available for this chart type.Center value must be supplied in this case.Zero variance for one or more variables.PLIMITS must be set to numbers between 0 and 1.Weight constant, K, must be between zero and one.Something is wrong with covariance matrix input.Determinant of the covariance matrix is zero or less.Some predictors are collinear or have zero variance.Sample size must be greater than number of variables.K may not be less than zero.H may not be less than zero.LHL may not be less than zero.Shewhart types are X, XBAR, XBAR_S, XBAR_R, VAR, S, R, NP, P, C, OR U.A value of the X variable occurs more than once.An "*" was expected. "%s" was encountered.
Separate the "Y" variables and "X" variables with an asterisk.An "X" variable name was expected.Insufficient memory to start QC.Unrecognized option "%s".
Valid options are:
      XMAX, XMINUnrecognized option "%s".
Valid options are:
      YMAX, YMINWIDTH value encounterd was "%s".
You must specify a positive integer. 
Sample sizes deviate from their average by more than 10 percent.
  
The AGG option is in effect, but FREQ has not been specified.
 Insufficient memory for problem.You have defined the predictor "%s" as categorical.
This is not legal for a regression analysis.A dependent variable has been defined as categorical or is a
character variable. Performance measures must be numerical variables.Absolute limits are not allowed for this chart.Aggregate data is not a possible input type for this chart.The variable "%s" has not been defined as categorical.
It will be plotted as a continuous numerical variable.
 The variable "%s" has not been defined as categorical.
The X-axis variable for a Pareto chart must be categorical.Command not valid for conditional LOGIT models.Command only valid for conditional LOGIT models.Expecting variable or number indicating number of
alternatives for each observation.Fixed number of alternatives must be greater than 1.Illegal or missing value for NALT variable at observation %ld.The dependent variable changed across a set of records
representing a single observation in bychoice data input
option at observation %.0lf.By groups not allowed in stepwise modeling. Reset
by groups, re-estimate model, then begin stepping.Weight option not allowed on model statement in this
version. Respecify model and use the weight command.Maximum number of conditional labels is %ld.Data must be binary (0=reference,1=response).
Make sure data is coded correctly, and use NCAT=BINARY.Subscript ranges not permitted for independent
variables in model sentence. Assuming first subscript.Stepping is aborted.Missing value for dependent variable at observation %.0lf.NCAT invalid.Save is not active, predict command ignored.The constant must be the first polytomous variable, not
a conditional variable.Missing or illegal value for weight variable at observation %.0lf.Total number of variables may not exceed %.0lf.All variables are character-type or missing.Command not allowed for pure conditional models.Conditional variable labels cannot match any dataset variable names.Categorical variables cannot be used as conditional variablesYou must state START before STEP.You must state START before STOP.Insufficient available RAM to solve problem.Insufficient available RAM to start LOGIT.Not enough memory or too many arguments on command line.Sum of weights equals zero for observations with DEPVAR = 1Sum of weights equals zero for observations with DEPVAR = 0Insufficient available memory to start PROBIT.Dependent variable has more than two levels.Categorical processing error.You may allocate memory for only %.0lf additional covariates.
Covariate number reset to 0,0.Command not valid with time offsets in effect.Command not valid with time offsets in effect.Data have already been input.Error inputting data. Input not successful.Nothing to compute.  Computations bypassed.Time specified larger than largest failure time.TMAX and TMIN must be positive.Time specified smaller than smallest failure time.Out of memory.  Reduce size of problem.Not all special variables have been specified.A special variable was listed as a covariate:You have not input data from the SYSTAT USE fileYou must specify one of the following in the QPLOT command:
     EXP, EE, WB, EW, LNOR, LGSTSTRATA not in effect.Internal error %.0lf occurred. Please call SYSTAT
technical support (312-494-3283).You must specify a maximum value for the STRATA variable.Incorrect LOGLK.Only %.0lf covariates in the last model.Not enough workspace for %.0lf STRATA.
Reduce number of STRATA to continue.Modeling aborted.Start values or HOLD already in effect.No model, or error on last model.Illegal numerical value.You are trying to process the wrong
kind of data for this procedure.You have requested a variable that was not input as a
covariate, defined as a time dependent covariate or is
currently removed.Only parametric models can produce QNTL, RELI or HAZARD tables.You are trying to process character data.An error occurred during estimation.Subscript range not allowed:At least one TIME must be specified in RELI and HAZARD commands.Cox model not in memory.No observations in first stratum. UNABLE to continue.Cox model not appropriate for this data type.You have requested a covariate that is removed:No cases kept after transformations.Hessian is singular -- model processing stops.
Please check for collinearity or a constant covariate in your model.QPLOTS, STRATA not supported for type 3 data.QNTL, RELI and HAZA only valid following parametric models.Covariate subset not allowed with the QPLOT or COX command._B_ option not allowed after a Cox estimation.You may not request that the stratification variable
also be a covariate during Cox estimation.Stratification has been changed.No model in memory.Illegal range in DO option:Illegal range in DO option for QNTL command.
Probabilities must be between 0 and 1 inclusive:Illegal probability value for QNTL command.
Probabilities must be between 0 and 1 inclusive:B(1) must be positive, non-zero.Attempted division by zero.Unable to evaluate first iteration Log-Likelihood.Unable to evaluate final iteration Log-Likelihood.At least one covariate must be used in the Cox model.You did not explicitly specify a lower time variable
before inputting data, and an observation having
CENSOR=-1, signalling left or interval censoring,
was found -- observation number %.0lf.
Error inputting data. Input not successful.For an observation having CENSOR=-1, signalling
left or interval censoring, a negative value for
lower time was found -- observation number %.0lf.
Error inputting data. Input not successful.For an observation having CENSOR=-1, signalling
left or interval censoring, a value for lower time that
was greater than the value for TIME, was found --
observation number %.0lf.
Error inputting data. Input not successful.Time was found to be negative during normal input
at observation number %.0lf.
Use /E switch on USE command for engineering input conventions.
Error inputting data. Input not successful.You must state START before STEP.NLINES and DELT may not be used together.Unable to produce plot, possibly erroneous stratification.Saving not supported during LTAB COMP for type 3 data.You have requested a variable that was input
as a special variable and cannot be a covariate.Total at risk = 0 in at least one stratum,
or sum of total at risk across all strata = 0.
Check latest strata statement, or your data.Stratum number %.0lf.No covariates were input, or all have been removed.Illegal limit in DO option:You must specify a covariate with the HIST command.Categorical variables not in this version of SURVIVAL.
Levels not allowed:Frequency plots of lower time variable not possible.Constraint equation not completed:Too many constraints in TEST command.
This version is limited to %.0lf equations.Asterisk must separate multipicative constant and
term in constraint equation:Expected right-hand-side of constraint equation:Illegal value for right-hand-side of constraint equation:_B(1)_ and _B(2)_ not in current model, and may not
specified in restriction equations.Specified term not in current model.TRAN command must precede all definitions on its own line.You have referenced a variable that was not input or
defined as a covariate or a special variable.No more room for variable labels.  Try using large memory
allocation parameters with the 'ALLOC' command
prior to input.Too many new covariates defined.Time dependent covariates may not be referenced in a
'TRAN' sequence, only in a 'VIRTUAL' sequence.You may only reference the 'CTIME' variable only in
a 'VIRTUAL' sequence.Variable not yet defined, or not input:'IF' must lead off logical block.Expecting a logical operator (<,>,=,<=,>=,<>) here:Expecting an existing variable following 'IF':Expecting an existing variable or a numeric value here:Expecting 'THEN':Expecting '=' after variable name:Expecting subscript or '=' after variable name:Too many 'IF' statements.
Maximum allowed is %.0lf.Too many assignment statements.
Maximum allowed is %.0lf.Previous 'IF' block not closed with 'ENDIF'.Expecting assignment statement following 'LET'.Command not valid following time dependent Cox model.Covariate vector not allowed with RESIDUAL option.ALL option not allowed.Offset too large for this data.Illegal or meaningless 'DO' loop.Offsets must be greater than or equal to zero.Shell sort unable to continue.  Please use BUBBLE=YES
command and reissue commands from beginning.Insufficient available memory to start SURVIVAL.Insufficient available memory for problem. 
Only the first %ld cases have been loaded.BY group analysis is not allowed in SURVIVAL.
By group information has been cleared. No BY groups are in effect.You have not specified items with a MODEL statement.Unrecognized MODEL option "%s".
Valid options are:
        ONE, TWOUnrecognized ESTIMATE option "%s". Valid options are:
     CLASSICAL, LOG1, LOG2, HALF, STEPS, ITER,
     CONVERGE, LCONVERGE and SAMPLEThe number of items in KEY must match the number of items in MODELFewer than two cases with complete data.Variance is zero for total test scores.No numerical variables in file to process.Too few usable items.Data must be zeros and ones for this analysisToo few usable cases.Your data contain more than one group.Number of variables (items) is less than 4.Your scoring key is inconsistent.The number of items in your scoring key is incorrect.Too many items (variables) requested.Number of cases times number of items is too large.Rounding errors in finite difference calculations.Maximum iterations exceeded.Illegal values encountered during computation.More is not a valid command in this context.Area under ROC may be underestimated relative to the tolerance
level used.Some probabilities in the table above have been adjusted away from zero.
Identify adjusted probabilities by finding zero frequencies in the table.Previous or default stimulus variable is in effect.Previous or default response variable is in effect.You are trying to process the wrong
kind of data for this procedure.Your file does not contain enough numerical variables.No options are allowed when MODEL = NPAR; the rest of the line will be
ignored.No options are allowed when MODEL = NORMAL; the rest of the line will
be ignored.Stimulus, response, and weight must be assigned to separate variables.
The current assignment of one of these conflicts with a previous assignment.You have not given an input file with use command.Data for stimulus variable must be 0 or 1 only.Your data contain too many response categories.Parameters cannot be estimated for your data.
Check for strange combinations of false-alarm rates and hit rates
by using the SYSTAT program NPAR.Number of response categories used is less than 2.Responses must be numbers from -10 to +10.This parameter must be a positive number.More responses than this version of SIGNAL can handle.Total number of responses to noise trials or to signal trials is zero.DF must be between 0.001 and 1,000.Mean must be between 0.001 and 1,000.Iterative procedure did not converge.Parameter R must be between 0.001 and 50,000.Parameter M0 must be a positive number.Number of response categories has changed.
Save file contains missing data symbol for this group.Unrecognized MODEL option "%s".
Valid options are:
      NPAR, NORMAL, LOGISTIC, EXPONENTIAL, CHI_SQUARE,
      POISSON, GAMMAUnrecognized option "%s".
"/C=<#>" is the only valid option here
for logistic and exponential models.Unrecognized chi-square model option option "%s".
Valid options are:
      START, DFUnrecognized Poisson model option "%s".
Valid options are:
      START, MEANUnrecognized gamma waiting-time model option "%s".
Valid options are:
      M0, START, RUnrecognized ESTIMATE option "%s".
Valid options are:
      NPAR, NORMAL, LOGISTIC, EXPONENTIAL,
      CHI_SQUARE, POISSON, GAMMA, C, START,
      DF, MEAN, M0, R, CONVERGE, ITERATIONSInsufficient available memory to start SIGNAL.Insufficient available memory to complete the problem.Unrecognized logistic or exponential model option. The only valid
option is:
      CUnrecognized MODEL option "%s".
Valid options are:
     <model type>      <options>
        LOGIST         /C=<#>
        EXPON          /C=<#>
        CHISQ          /START, DF=<#>
        POISSON        /START, MEAN=<#>
        GAMMA          /START, M0=<#>, R=<#>The %s model option must be followed by a valid number.The %s estimate option must be followed by a valid number.There is insufficient memory to save data for SIGNAL.If you use a constant, it must be first in model.You have specified too many interactions. Maximum is %f.'Constraints were already specified, so that the ALL command invalid.There is no model currently in memory.A valid model is not ready at this point.  Either the model
statement has not been given, or the model has been removed
for some reason. Please issue the MODEL statement again.You have not specified a SAVE file yet.Use the weight command.You have specified multiple dependent variables.
Only the first will be used in analysis although
deletion for missing values is based on all variables
respecify the model if you do not wish to proceed.The specified term is not part of last model.Computational difficulties were encountered, and computations
cannot continue.Illegal level or effect value.Internal error %f. Please call SYSTAT
technical support (312-494-3283).That command is not allowed in this SYSTAT module.Illegal start value.Expecting either %f start values or the PREVIOUS option.There too many effects in the model.  This version allows a
maximum of %f effects.Base must be greater than or equal to 0 and less than %f.Number must be positive nonzero.Error parsing constraint equation.Illegal range in DO option.Illegal range in DO option.
Probabilities must be between 0 and 1 inclusive.Smart number too low.Smart number too high, not enough memory.Illegal probability value.
Probabilities must be between 0 and 1 inclusive.No more than %f probabilities may be entered.Quantile variable has a zero slope coefficient.Illegal range in do option for QNTL command.
Probabilities must be between 0 and 1 inclusive.Illegal choice group, the maximum is %f.Illegal probability value for QNTL command.
Probabilities must be between 0 and 1 inclusive.CHOICE group specifier not allowed in this module.LAG specifier not allowed in this module.Too many constraints.  The maximum is %f.Categorical level not allowed for this variable.Illegal reference level. The reference level must be between 1 and %f.Illegal minimum level.  Only a zero is allowed after the colon.Conditional variables may not be categorical.About here SYSTAT expects a numeric variable, or a conditional clause
delimited by brackets '[ ]'.A conditional label can only be used once.The maximum number of conditional labels is %f.Categorical variables not allowed within conditional clause.The number of terms within separate conditional clauses
must remain constant.No effects kept for consideration.  Please check your model.Quantile variable may not be assigned a fixed value.All basic commands must precede CCV command in LOGIT.Two options MUST be specified on the BINARY command.Only two options may be specified on the BINARY command.You are trying to force too many effects.  With the model
currently in memory, you may only force %f effects.
Computational difficulties were encountered because of
an attempted log of a non-positive number, and computations
cannot continue.  Please alter the allowable condition or
check for singularities.Computational difficulties were encountered because of
an attempted division by zero, and computations cannot
continue.  Please alter the allowable condition or
check for singularities.Computational difficulties were encountered because of
an overflow during exponentiation, and computations cannot
continue.  Please alter the allowable condition or check
for singularities.Computational difficulties were encountered because of
an attempted square root of a negative number, and computations
cannot continue.  Please alter the allowable condition or
check for singularities.Illegal level or effect value. Maximum value is %f.Illegal level or effect value. Minimum value is %f.Expecting either %f start values, the PREVIOUS option,
or the LINEAR option.Problem in ADDEFF!!! Salford Error: Routine %s Variable %sProblem in DELEFFMaximum number of categorical variables exceeded. You are allowed
at most %.0lf categorical variables.Unrecognized hypothesis testing character "%s".
One of the following special characters was expected.
      - > } ]Categorical variable processing error.  Please call SYSTAT
technical support (312-494-3283).Invalid numeric categorical value "%s".
SYSTAT expected a valid numerical level.Numerical categorical value %lf not found.Character categorical value %s not found.
For lower case values, enclose value in quotes.End of line expected but "%s" was encountered.
The only optional argument for HYPOTHESIS is the asterisk character.
The HYPOTHESIS command should be either:
      HYPOTHESIS
or
      HYPOTHESIS *The TEST command has no arguments.The ITERATIONS keyword must be followed by a positive number.
Instead, "%s" was encountered.Unrecognized CATEGORY option "%s". Valid options are:
      DUMMY, EFFECT, REF=[HIGHEST | LOWEST]Unrecognized REF option "%s" of the CATEGORY command.
Valid options are:
      HIGHEST, LOWESTUnrecognized text in CONSTRAIN command.
Text "%s" is in error.Expression is too long.Can't recognize this word or symbol.  Possible causes are:
  - mis-use of a special character,
  - use of an uninitialized variable,
  - misspelled function name
  - the notation "X(i..j)" is used instead of "X(i)..X(j)"Operator or comma expected.Operator expected.More ')' than '('.Operand or function expected.Wrong number of function arguments.Mixed (character and numeric) operands.Numeric operation on character operand.Function needs argument(s).More '(' than ')' in the expression.Parsing error -- please check the expression.Something is wrong with the expression.'CLEAR' is the only option here.Too many variables.The first argument of LAG must be a variable, second a positive integer.Variable subscript error.A reference to a variable, or a set of variables
(enclosed in parenthesis and separated by commas) is expected.A numeric expression expected."IF condition THEN" can only be followed by a LET statement, except
in BASIC, where any statement may follow the "IF condition THEN".Wrong type of variable (or constant) in this expression.Bad operator in expression.Character operand where numeric is expected.Subscript expression yielded a nonexistent subscript.Expression is too long (for temporaries).Subscript expression yielded a nonexistent subscript.Bad operand reference -- this is a SYSTAT bug.Subscript expression yielded an illegal subscript (less than 1)Subscript expression yielded too many digits for an acceptable subscriptLET (a,b,...) contains an unknown variable.Variables of LET (a,b,... ) must be all numeric or all character type.New subscripted variables cannot be defined by a LET statement.
In BASIC you may define subscripted variables with the DIM statement.Insufficient memory to start PERMAP.Insufficient available memory for problem.Too many cases for this version of PERMAP.Too many cases and analysis variables for this version of PERMAP.Too many analysis variables for this version of PERMAP.Unrecognized ESTIMATE option "%s".  Valid options are:
     METHOD, STANDARDIZE, DIMENSION and POLARITYSingular matrix.Singular matrix.Singular matrix.Singular matrix encountered during singular value decomposition.
(The %6.0lf 'th value cannot be determined.)A statistical processing error occurred. Please call SYSTAT
technical support (312-494-3283).You cannot ESTIMATE until you have specified a MODEL.Unrecognized METHOD option "%s".  Valid options are:
     VECTOR, CIRCLE, ELLIPSE, MDPREF,
     BIPLOT, CANONICAL, and PROCRUSTESIncorrect METHOD (%s) specified for the ESTIMATE command.
Only METHOD=MDPREF or METHOD=BIPLOT are valid when only
one set of variables is specified in the MODEL statement.Incorrect METHOD (%s) specified for the ESTIMATE command.
Only VECTOR, CIRCLE, ELLIPSE, CANONICAL and PROCRUSTES are
choices for METHOD when two sets of variables are specified
in the MODEL statement.Can't understand which rows you want to delete.Can't understand which columns you want to drop.Too many entries in the list.More entries than expected.Character data found where numeric data expected.Numeric data found where character data expected.One row subscript and one column subscript, separated by ';' expected.
Each subscript may be a constant or a 1-by-1 matrix.Expression requires too many temporary matrices.Illegal operation code.Matrix dimensionality error.Matrix is not symmetric.Reading row names.Reading column names.Wrong operand type (numeric/character).Matrix's subscript is out of range.Bad matrix name.Bad CALL command.Matrix is not symmetric positive definite.The first min(r,c)-by-min(r,c) rows and columns forms a singular matrix.Did not converge after 30 iterations.To sort columns of a matrix all columns must be numeric or character type.Attempt to raise a non-symmetrix matrix to a power.Singular Value Decomposition failed to converge.Could not invert the matrix.To re-shape a matrix all columns must be of the same type (num/char).Insufficient available memory to start MATRIX.Unable to allocate enough memory for your request.
Delete some matrices via the CLEAR command, then restate your request.Unrecognized SET option "%s". Valid options are:
      MATRIX, NAMES, NUMERIC, CHARACTER.Unable to allocate more data memory.Eigen value computation failed to converge.QR computation failed to converge.Equal sign (=) expected.Use semicolon (;) to separate row and column indices.  %6.0lf of the SWEEPs requested could not be performed.Closing bracket (]) or comma (,) is missing from the end of the line.Matrix operand contains missing values.  The requested operation
cannot be performed on matrices containing missing values.Insufficient memory to start LOGLIN.Insufficient available memory for problem.Too many cases for this version of LOGLIN.You must first define the MODEL before you can ESTIMATE it.Unrecognized ESTIMATE option "%s".  Valid options are:
   DELTA=# CONV=# LCONV=# TOL=# ITER=# HALF=# CELLS=# and SAMPLEIn the ZERO command only the words "CELL" and "EMPTY" are recognized;
Don't know what "%s" was intended to mean.%4.0f numeric cell indices are expected after the word CELLBad table specification in the MODEL statement; possibly misspelled
variable names.  The correct form is: MODEL var1*var2*...*varn = ..."%s" is not part of the MODEL statement's
table specification the part in front of the =),
hence it may not be in the model specification
(after the =).You must first define the MODEL before you declare structural ZEROs.Effects coding is the only valid categorical coding strategy in LOGLIN.
Coding set to EFFECTS.A variable name is misspelled, or you are asking for more than one
tables to compute (LOGLIN can compute only one table per request).You have not entered all the information for the test.You need at least two variables to do paired t-Test.Your data do not contain two groups.There are too many cases for this version of TTEST.There are too many groups for multiple comparisons. There can be at
most %f pairwise comparisons.Unrecognized TEST option "%s". Valid options are:
      BONFERRONI, DUNN_SIDAK and SAMPLEThe BONFERRONI option is valid only for paired t-tests.The DUNN_SIDAK option is valid only for paired t-tests.You need at least two variables to do a paired t-test.There are more than two groups in the grouping variable. TTEST
requires only two values.Command not allowed with instrumental variable models.Unable to test, reestimate last OLS model.Internal error.  Please call SYSTAT
technical support (312-494-3283).Reenter model statement.Number of restrictions is larger than the number of
covariates in reduced system.  Restrictions ignored.Specified term not part of last model.Unable to recover expanded PDL system in last model --
cannot proceed with hypothesis test.Roundoff error detected. Subsequent results may be invalid.Out of memory.  Reduce size of problem.Maximum level is %ld.  You requested an illegal level.Illegal lag range.Too many constraints imposed.Too many constraints imposed.
You are limited to %ld constraints.A constant was specified more than once in the model.Error reading constraint on this line.Illegal values for subscript.Constraint equation not completed.Illegal subscript or lag range.Asterisk must separate multipicative constant and
term in constraint equation.You are trying to process character data.Lag value must be enclosed in greater than and less than characters.Not enough instrumental variables.Expected right-hand-side of constraint equation.Illegal value for right-hand-side of constraint equation.Label expected.Undefined label %s : %s.Expecting lag expansion indicator following semicolon.Expecting polynomial order indicator following semicolon.Polynomial order indicator must be nonnegative.Polynomial order must be less than or equal to expansion indicator.Covariate list too large to involve PDL groups -- not enough memory.Instrument list too large to involve PDL groups -- not enough memory.Restriction code must follow polynomial order indicator.Illegal restriction code value, must be 0, 1, 2 or 3.ERROR: label or = expected.ERROR: +, *, # or label expected.ERROR: effect specifier (#) already specified.PDL restriction not allowed on instrument PDL groups.Unrecognized ESTIMATE option "%s".
Valid options are:
      TEMP,  NOTEMPUnrecognized RP option "%s".
Valid options are:
      RESTRICTED,  UNRESTRICTED,  BR,  EXPANDED,  REDUCED,
      BE,  ALLAmbiguous RP option "%s".
Valid options are:
      RESTRICTED,  UNRESTRICTED,  BR,  EXPANDED,  REDUCED,
      BE,  ALLInsufficient available memory to start TSLS.Insufficient available memory for problem.Dependent variables cannot be categorical.Insufficient available memory to start RAMONA.You must first define a MODEL before you ESTIMATE.Insufficient available memory for problem.Invalid parameter number "%s" encountered.
Valid options are a nonnegative integer or the asterisk character.Invalid parameter value "%s" encountered.
Valid options are a numeric value or the asterisk character.
The numeric value must be between 0 and 500 inclusive.Improper form of parameter information.
Valid syntax is:
       variable_name(#1,#2)
       where #1 is a nonnegative integer or asterisk
             #2 is a numeric value or asteriskImproper form of MODEL statement.No manifest variables were found in the model.
RAMONA cannot proceed.Your problem has more than the maximum (%.0lf) number
of equal free parameters allowed.The dependence path %s <- %s fixes a parameter to
an unspecified value.The covariance path %s <-> %s fixes a parameter path
to an unspecified value.Unrecognized METHOD type "%s". Valid types are:
      ADFG, ADFU, OLS, GLS, MWL
You cannot use two letter abbreviations with ADFG or ADFU.Unrecognized or ambiguous DISP matrix type "%s".
Valid options are:
      COVAR, CORRUnrecognized START option "%s". Valid options are:
      ROUGH, CLOSEUnrecognized OUTPUT option "%s". Valid options are:
      MIN, MED, MAX
Note that this command is translated into the SYSTAT PRINT command.
For example, OUTPUT=MIN is translated into PRINT=SHORT.Invalid number for the NCASES option "%s".Invalid number for the MAXIT option "%s".Invalid number for the CONVG option "%s".Unrecognized DATA option "%s". Valid options are:
      RAW, CORRCOV
You should not use DATA options because the command is ignored.Invalid ESTIMATE option "%s". Valid options are:
      DISP, METHOD, START, CONVG,
      MAXIT, NCASES, RELKURT, RESTART, CONFI
Note that at least three letters are required for RELKURT and
RESTART. Four letters are required for CONFI and CONVG.Invalid number for the RELKURT option "%s".The NCASES option has been omitted or misspecified.The following dependence path:
%s <- %s is not permissible!
An identical path with another parameter number and parameter value was
found.The following covariance path:
%s <-> %s is not permissible!
An identical path with another parameter number or parameter value
was found in your input file.The variance of %s has been fixed at zero.Latent variable %s emits no arrows.The covariance path %s <-> %s
is not permissible.The exogenous variable variance path
%s <-> %s has been omitted!
Add this path to your model.A name > 5 characters was used in calling vnames.Insufficient available memory for problem.A correlation matrix was provided although DISP=COV fit measures and
standard errors may be inappropriate.
 Manual termination of iterative procedure.Premature termination of iterative procedure - maximum number of
iterations reached.Premature termination of iterative procedure - decrease in discrepancy
function values is too slow.Number of redundant parameters =           %.0lfNumber of redundant variance constraints = %.0lfNumber of estimates on bounds =            %.0lfNumber of incorrectly imposed bounds =     %.0lfThe covariance matrix has been rescaled. All elements have been
divided by %s.The covariance matrix has been rescaled.
All elements have been multiplied by %s.Sample covariance/correlation matrix is not positive definite or
semidefinite.Sample covariance/correlation matrix is singular.Triangulation of a matrix that is not positive definite or semidefinite.
 
Minimum relative pivit = %s.  Nullity = %.0lf.Triangulation of a singular matrix.
 
Minimum relative pivit = %s.  Nullity = %.0lf.Covariance or correlation matrix provided for a distribution free
estimation procedure. Raw data is required for these procedures.Input covariance or correlation matrix is incomplete.Your model seems to be defining an inadmissible sigma.
Try a gls or ols solution.
 Internal RAMONA error. Please call SYSTAT
technical support (312-494-3283).
     IMPROPER ARGUMENT FOR FITINDVariable %s has an initial variance of zero.
RAMONA cannot continue.An inconsistency of type %ld has occurred in the imposition
of constraints during this iteration.RAMONA cannot continue.Negative dimension %ld in call to SUBROUTINE TRI.
RAMONA cannot continue.
Please call SYSTAT technical support (312-494-3283).No covariance (<->) relationships appear in the model.
The model must contain at least one.Improper MODEL syntax "%s".Only variables can follow <-> and <-.
RAMONA encountered %s.A variable must begin the MODEL statement.
For example,  MODEL varname ...
RAMONA encountered %s.Only variables on the right hand side of statements (e.g., <-> or <-)
can have parameter values.
RAMONA encountered %s.A given instance of a variable must refer to the right side OR
the left side of an equation. For example, the following syntax is
invalid:
    var1 <-> var2 <-> var3
    var1 <-  var2 <-  var3The use file contains %s.
Only raw data, correlation matrices and covariance matrices
are allowed.Insufficient number of cases in matrix.Input matrix must be square.
There are %.0lf rows and %.0lf columns.Statistical processing trouble. Please call SYSTAT
technical support (312-494-3283).
Problem with CSNCP (#%.0lf).Statistical processing trouble. Please call SYSTAT
technical support (312-494-3283).
Problem with FITIND.  Improper argument.Improper latent variable name "%s".
Names must begin with a letter.Latent variable %s is a SYSTAT variable name.
Latent variable names cannot match file variable names.A different number of manifest variables were found in the model
than were specified in the MANIFEST command.Manifest variable "%s" was encountered in the MANIFEST command
but not encountered in the model.Manifest variable "%s" was encountered in the model but not the
MANIFEST command.A different number of latent variables were found in the model
than were specified in the LATENT command.Latent variable "%s" was encountered in the LATENT command
but not encountered in the model.Latent variable "%s" was encountered in the model but not the
LATENT command.Invalid CONFI (confidence interval) value "%s".
Confidence interval values must be greater than zero and
less than or equal to 0.999.Invalid PRINT option "%s". Valid options are:
      ITER, SAMPLE, REPRODUCED, RESIDUAL, PATH
      ESTIMATES, EQUALITY, MODELT, CORRELATION, DISCREPANCYThe type of design requested is not available.Illegal number of levels requested.Allowable number of blocks for this design is %.0lf.A singular matrix has been repeatedly encountered."%s" was encountered where an integer was expected."%s" was encountered where one of the following was expected:Unrecognized mixture option "%s".
Valid options are:
      LATTICE, CENTROID, AXIAL, SCREENINGThe TYPE option is only valid with Taguchi and Mixture designs.Taguchi option must begin with the letter "L".
Instead, "%s" was encountered.Unrecognized option "%s".
Valid options are:
      L4, L8, L9, L12, L16, LP16, L18, L25, L27, L32, LP32, L36, L54BLOCK must be followed by a positive integer.
"%s" was encountered.RUNS, FACTORS, LEVELS and REPLICATIONS must be followed by an
integer. Instead, "%s" was encountered.The SQUARE option is only valid with the LATIN command.The TRYS option must be followed by an integer. Instead,
"%s" was encountered.Insufficient available memory to start DESIGN.Options to the FACTOR command must be preceeded by a slash in the form:
     FACTOR / optionsOptions to the BOXHUNTER command must be preceeded by a slash in the form:
     BOXHUNTER / optionsOptions to the TAGUCHI command must be preceeded by a slash in the form:
     TAGUCHI / optionsOptions to the PLACKETT command must be preceeded by a slash in the form:
     PLACKETT / optionsOptions to the LATIN command must be preceeded by a slash in the form:
     LATIN / optionsOptions to the BOXBEHNKEN command must be preceeded by a slash in the form:
     BOXBEHNKEN / optionsOptions to the MIXTURE command must be preceeded by a slash in the form:
     MIXTURE / optionsOptions to the D_OPTIMAL command must be preceeded by a slash in the form:
     D_OPTIMAL / optionsInsufficient available memory for problem.Meaningless option "%s".Insufficient memory is available to CUT variables.No cases available to DELETE.No case given to DELETE.No variables given to DROP.No variables given to CUT.You have to CUT before you can PASTE.You have used up your EDITOR variables space.You entered data which do not match
the variable's data type.You must define variables before adding new cases.A variable label must begin with a letter, may only
contain letters, numbers, and underscore ('_'), and
may be followed by a dollar-sign (marking character
type variables), and a numeric subscript.Unable to write to the Editor's temporary file.Unable to read from the Editor's temporary file.Variable label already exists in the file.You cannot change the variable type (numeric/character).You cannot SAVE a file until you have entered data.Insufficient memory to start EDIT.You cannot transform data in an empty EDITOR.You cannot FIND in an empty EDITOR.There is not enough memory to continue to EDIT your data.You cannot DELETE cases when SELECT or Brushing is on.Invalid ESTIMATE option "%s". Valid options are:
      ITERATION, CONVERGE, LOSS,
      REGRESSION, POLARITY, SAMPLEInvalid POLARITY option "%s". Valid options are:
      POSITIVE and NEGATIVENo variables were chosen for analysis.Not enough profiles were specified.Bad numeric value given for the CONVERGE option.Invalid LOSS option %s.  Mutually exclusive options are:
     TAU and STRESSInvalid REGRESS option %s.  Mutually exclusive options are:
     MONOTONIC, LINEAR, LOG, and POWER