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anolis.oeb.harvard.edu
pcca uses a phylogenetic tree and measurements for an arbitrary number of continuous characters to perform a PGLS transformation of the data and then calculate canonical scores, weights, and correlations, and conduct hypothesis tests about the canonical correlations. Canonical correlation analysis (CCA) is a procedure by which two sets of derived variables are calculated from two sets of original variables whereby the correlations between corresponding derived variables is maximized.
Posted by hlapp to canonical correlation analysis PGLS comparative analysis software on Wed Oct 03 2007 at 20:36 UTC |