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Algorithms for unweighted least-squares factor analysis

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  • Krijnen, Wim P.

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  • Krijnen, Wim P., 1996. "Algorithms for unweighted least-squares factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 21(2), pages 133-147, February.
    • Handle: RePEc:eee:csdana:v:21:y:1996:i:2:p:133-147
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    References listed on IDEAS

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    1. Louis Guttman, 1952. "Multiple group methods for common-factor analysis: Their basis, computation, and interpretation," Psychometrika, Springer;The Psychometric Society, vol. 17(2), pages 209-222, June.
    2. Michel Tenenhaus, 1988. "Canonical analysis of two convex polyhedral cones and applications," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 503-524, December.
    3. Jos Berge, 1991. "A general solution for a class of weakly constrained linear regression problems," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 601-609, December.
    4. David Rindskopf, 1984. "Using phantom and imaginary latent variables to parameterize constraints in linear structural models," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 37-47, March.
    5. Harry Harman & Wayne Jones, 1966. "Factor analysis by minimizing residuals (minres)," Psychometrika, Springer;The Psychometric Society, vol. 31(3), pages 351-368, September.
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    Cited by:

    1. Wim Krijnen & Theo Dijkstra & Richard Gill, 1998. "Conditions for factor (in)determinacy in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 63(4), pages 359-367, December.
    2. Wim Krijnen, 2002. "On the construction of all factors of the model for factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 161-172, March.

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