A matrix of the negatives of the partial correlation coefficients. If the variables share common factors, the partial correlation coefficients should be small, since the linear effects of other variables are eliminated. If the proportion of large coefficients in this matrix is high, you should reconsider the use of a factor analysis model for the variables.
