Hello, I am interested in doing a partial canonical correlation (identical to the SAS function, Proc Cancorr with the Partial statement).
By this I mean, I have 3 sets of data, a vegetation matrix (columns of abundances of species in rows of plots), an "environment" matrix (columns of environmental variables in same rows of plots), and a "space" matrix (x and y locations of each of the plots). I would like to look at the relationships between these multivariate groups, with the space partialed out. This would be somewhat analogous in my mind to a partial mantel test (i.e., 3 data matrices), but would be somewhat more sophisticated than the correlations between distance matrices of the partial mantel test. In the r-help archives I have found similar things, partial correlations, canonical correlations, but not partial canonical correlations. Does somebody know how to do this in R? Thank you in advance, Eliot -- Eliot McIntire Post Doctoral Fellow Department of Ecosystems and Conservation Science College of Forestry and Conservation University of Montana, Missoula, MT 59812 406-243-5239 fax: 406-243-4557 [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
