Redundancy Analysis an Alternative for Canonical Correlation Analysis | Psychometrika | Cambridge Core (original) (raw)

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.

References

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