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Redundancy Analysis an Alternative for Canonical Correlation Analysis
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.
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Cited by
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A contrarian view of the five-factor approach to personality description.
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Metadata
- Authors
- van den Wollenberg, A. L.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1977-06
- Volume
- 42
- Issue
- 2
- Pages
- 207-219
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2124634097
- Cited by
- 831
- References
- 0
- FWCI
- 1.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- van den Wollenberg, A. L. (1977). Redundancy Analysis an Alternative for Canonical Correlation Analysis. Psychometrika. https://doi.org/10.1007/bf02294050
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.