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      Use of two-block partial least-squares to study covariation in shape.

      Systematic Biology

      Analysis of Variance, anatomy & histology, Ulna, Tibia, Skull, genetics, classification, Mice, Least-Squares Analysis, Humerus, Fibula, Bone and Bones, Animals

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          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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          12116437

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