CPC is a powerful statistical tool that allows detailed testing of underlying patterns of covariation. Plot of all possible pairwise matrix correlations among population correlation matrices for 24 variables. This graph demonstrates the overriding effect of sampling error on the estimation of matrix correlations. Corrections for sample size are required. Matrix correlations, partially corrected for sample size, of all possible pairwise comparisons, categorized by the phylogenetic relationship of the population pairs.
Circles represent individual outliers.
Common principal components analysis of shared hierarchical structure in covariance matrices. Thicker lines indicate clades sharing common structure higher in the hierarchy of matrix associations. For most clades, one must reject at least the first three partial common principal components.