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A joint treatment of varimax rotation and the problem of diagonalizing symmetric matrices simultaneously in the least-squares sense

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  • Jos Berge

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Suggested Citation

  • Jos Berge, 1984. "A joint treatment of varimax rotation and the problem of diagonalizing symmetric matrices simultaneously in the least-squares sense," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 347-358, September.
    • Handle: RePEc:spr:psycho:v:49:y:1984:i:3:p:347-358
    DOI: 10.1007/BF02306025
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    References listed on IDEAS

    as
    1. H. Neudecker, 1981. "On the matrix formulation of Kaiser's varimax criterion," Psychometrika, Springer;The Psychometric Society, vol. 46(3), pages 343-345, September.
    2. Peter Schönemann, 1966. "Varisim: A new machine method for orthogonal rotation," Psychometrika, Springer;The Psychometric Society, vol. 31(2), pages 235-248, June.
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    Citations

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    Cited by:

    1. Marie Chavent & Vanessa Kuentz-Simonet & Jérôme Saracco, 2012. "Orthogonal rotation in PCAMIX," 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(2), pages 131-146, July.
    2. Maurizio Vichi, 2017. "Disjoint factor analysis with cross-loadings," 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. 11(3), pages 563-591, September.
    3. Yoshio Takane & Kwanghee Jung & Heungsun Hwang, 2010. "An acceleration method for Ten Berge et al.’s algorithm for orthogonal INDSCAL," Computational Statistics, Springer, vol. 25(3), pages 409-428, September.

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