, Volume 42, Issue 2, pp 207-219

Redundancy analysis an alternative for canonical correlation analysis

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Abstract

A component method is presented maximizing Stewart and Love's redundancy index. Relationships with multiple correlation and principal component analysis are pointed out and a rotational procedure for obtaining bi-orthogonal variates is given. An elaborate example comparing canonical correlation analysis and redundancy analysis on artificial data is presented.

A Fortran IV program for the method of redundancy analysis described in this paper can be obtained from the author upon request.