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A generalization of principal component analysis to K sets of variables

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  • Casin, Ph.

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  • Casin, Ph., 2001. "A generalization of principal component analysis to K sets of variables," Computational Statistics & Data Analysis, Elsevier, vol. 35(4), pages 417-428, February.
    • Handle: RePEc:eee:csdana:v:35:y:2001:i:4:p:417-428
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    References listed on IDEAS

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    1. Paul Horst, 1961. "Relations amongm sets of measures," Psychometrika, Springer;The Psychometric Society, vol. 26(2), pages 129-149, June.
    2. John Geer, 1984. "Linear relations amongk sets of variables," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 79-94, March.
    3. Escofier, B. & Pages, J., 1994. "Multiple factor analysis (AFMULT package)," Computational Statistics & Data Analysis, Elsevier, vol. 18(1), pages 121-140, August.
    4. Henk Kiers, 1991. "Hierarchical relations among three-way methods," Psychometrika, Springer;The Psychometric Society, vol. 56(3), pages 449-470, September.
    5. Kiers, Henk A. L. & Cleroux, Robert & Ten Berge, Jos M. F., 1994. "Generalized canonical analysis based on optimizing matrix correlations and a relation with IDIOSCAL," Computational Statistics & Data Analysis, Elsevier, vol. 18(3), pages 331-340, October.
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    Cited by:

    1. Philippe Casin, 2003. "Une analyse structurelle de la σ-convergence. Application aux pays de la zone euro," Économie et Prévision, Programme National Persée, vol. 159(3), pages 39-52.
    2. Vivien, Myrtille & Sabatier, Robert, 2004. "A generalization of STATIS-ACT strategy: DO-ACT for two multiblocks tables," Computational Statistics & Data Analysis, Elsevier, vol. 46(1), pages 155-171, May.
    3. Jacques Bénasséni & Mohammed Bennani Dosse, 2012. "Analyzing multiset data by the Power STATIS-ACT method," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 6(1), pages 49-65, April.

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