title: PCCA: a program for phylogenetic canonical correlation analysis.
abstract: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables whereby the correlations between corresponding derived variables are maximized. It is a very useful multivariate statistical method for the calculation and analysis of correlations between character sets. The program controls for species non-independence due to phylogenetic history and computes canonical coefficients, correlations and scores; and conducts hypothesis tests on the canonical correlations. It can also compute a multivariate version of Pagel's lambda, which can then be used in the phylogenetic transformation.
  
  
  BACKGROUND
  PCCA is distributed as DOS/Windows, Mac OS X and Linux/Unix executables with a detailed program manual and is freely available on the World Wide Web at: http://anolis.oeb.harvard.edu/~liam/programs/.
authors.affiliation: Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. lrevell@fas.harvard.edu
authors.forename: Liam J
authors.initials: LJ
authors.lastname: Revell
authors.forename: Alexis S
authors.initials: AS
authors.lastname: Harrison
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D008957:Models, Genetic; D015233:Models, Statistical; D015999:Multivariate Analysis; D010802:Phylogeny; D012984:Software; D013223:Statistics as Topic