Psychometrika

, Volume 42, Issue 2, pp 207–219

Redundancy analysis an alternative for canonical correlation analysis

Authors

  • Arnold L. van den Wollenberg
    • Department of Mathematical Psychology, Psychologisch LaboratoriumUniversiteit Nymegen
Article

DOI: 10.1007/BF02294050

Cite this article as:
van den Wollenberg, A.L. Psychometrika (1977) 42: 207. doi:10.1007/BF02294050

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.

Key words

principal componentsgeneralized multiple correlation analysiscross battery principle component analysis
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Copyright information

© Psychometric Society 1977