Psychometrika

, Volume 42, Issue 2, pp 207–219

Redundancy analysis an alternative for canonical correlation analysis

  • Arnold L. van den Wollenberg
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

Copyright information

© Psychometric Society 1977

Authors and Affiliations

  • Arnold L. van den Wollenberg
    • 1
  1. 1.Department of Mathematical Psychology, Psychologisch LaboratoriumUniversiteit NymegenThe Netherlands