> 1) PCA makes no assumptions about the distribution (multivariate normal > or otherwise) of your data. It is a procedure that simply produces the > linear combinations of variables with maximum variance subject to > orthogonality to other such axes.
OK, but variance may or may not be a meaningful parameter for non-normal data. > If you are interested in size relationships, regress variables on some > meaningful measure of size. If I only had a "meaningful measure of size" ... :-) Oyvind Hammer Geological Museum University of Oslo == Replies will be sent to list. For more information see http://life.bio.sunysb.edu/morph/morphmet.html.
