Computational statistics & data analysis: The official journal of the International Association for Statistical Computing

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  Año 2005, Número 1

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    Editorial

    Vincenzo Esposito Vinzi , Carlo Lauro

    págs. 1-4

    
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    Dimensionality reduction approach to multivariate prediction

    Bovas Abraham, Giovanni Merola

    págs. 5-16

    
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    PLS generalised linear regression

    Michel Tenenhaus, Vincenzo Esposito Vinzi, Philippe Bastien

    págs. 17-46

    
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    Combined Procrustes analysis and PLSR for internal and external mapping of data from multiple sources

    Harald Martens, Magni Martens, Garmt Dijksterhuis

    págs. 47-62

    
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    An alternative algorithm to the PLS B problem

    E.M. Qannari, M. Hanafi

    págs. 63-67

    
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    PCA and PLS with very large data sets

    Svante Wold, Nouna Kettaneh, Anders Berglund

    págs. 69-85

    
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    A non-linear nested partial least-squares algorithm

    Per A. Hassel, A. Julian Morris, Elaine B. Martin, Baibing Li

    págs. 87-101

    
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    Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR

    Magni Martens, Anette Thybo, Lars Halvor Gidskehaug, Arnar Flatberg, Endre Anderssen, Frank Westad, Martin Høy, Harald Martens

    págs. 103-123

    
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    DPLS and PPLS: two PLS algorithms for large data sets

    Raúl P. Rentería, Ruy Luiz Milidiú

    págs. 125-138

    
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    Discrimination on latent components with respect to patterns. Application to multicollinear data

    Dominique Bertrand, Evelyne Vigneau, El Mostafa Qannari, Hicham Nocairi

    págs. 139-147

    
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    PLS regression on a stochastic process

    G. Saporta, C. Preda

    págs. 149-158

    
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    PLS path modeling

    Michel Tenenhaus, Vincenzo Esposito Vinzi, Yves-Marie Chatelin, Carlo Lauro

    • Resumen

    págs. 159-205

    
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    Interpretation of partial least-squares regression models with VARIMAX rotation

    Yongping Tu, Qiang Liu, Huiwen Wang

    págs. 207-219