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Updated: Aug 15, 2026

Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 25, 2010
Use of two-block partial least-squares to study covariation in shape
1Department of Ecology and Evolution, State University of New York, Stony Brook, New York 11794-5245, USA. rohlf@life.bio.sunysb.edu
Abstract:
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.
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