Use of two-block partial least-squares to study covariation in shape.
The relatively new two-block partial least-squares method for analyzing the covariance between two sets of variables is described and contrasted with the well-known method of canonical correlation analysis. Their statistical properties, type of answers, and visualization techniques are discussed. Examples are given to show its usefulness in comparing two sets of variables--especially when one or both of the sets of variables are shape variables from a geometric morphometric study.
Department of Ecology and Evolution, State University of New York, Stony Brook, New York 11794-5245, USA. rohlf@life.bio.sunysb.edu
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D000704:Analysis of Variance; D000818:Animals; D001842:Bone and Bones / Q000033:anatomy & histology*; D005360:Fibula / Q000033:anatomy & histology; D006811:Humerus / Q000033:anatomy & histology; D016018:Least-Squares Analysis; D051379:Mice / Q000145:classification / Q000235:genetics; D012886:Skull / Q000033:anatomy & histology*; D013977:Tibia / Q000033:anatomy & histology; D014457:Ulna / Q000033:anatomy & histology