Journal: Computational Statistics & Data Analysis

Volume 48, Issue 1

1 -- 4Vincenzo Esposito Vinzi, Carlo Lauro. Editorial
5 -- 16Bovas Abraham, Giovanni Merola. Dimensionality reduction approach to multivariate prediction
17 -- 46Philippe Bastien, Vincenzo Esposito Vinzi, Michel Tenenhaus. PLS generalised linear regression
47 -- 62Garmt Dijksterhuis, Harald Martens, Magni Martens. Combined Procrustes analysis and PLSR for internal and external mapping of data from multiple sources
63 -- 67M. Hanafi, E. M. Qannari. An alternative algorithm to the PLS B problem
69 -- 85Nouna Kettaneh, Anders Berglund, Svante Wold. PCA and PLS with very large data sets
87 -- 101Baibing Li, Per A. Hassel, A. Julian Morris, Elaine B. Martin. A non-linear nested partial least-squares algorithm
103 -- 123Harald Martens, Endre Anderssen, Arnar Flatberg, Lars Halvor Gidskehaug, Martin Høy, Frank Westad, Anette Thybo, Magni Martens. Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR
125 -- 138Ruy Luiz Milidiú, Raúl P. Rentería. DPLS and PPLS: two PLS algorithms for large data sets
139 -- 147Hicham Nocairi, El Mostafa Qannari, Evelyne Vigneau, Dominique Bertrand. Discrimination on latent components with respect to patterns. Application to multicollinear data
149 -- 158C. Preda, Gilbert Saporta. PLS regression on a stochastic process
159 -- 205Michel Tenenhaus, Vincenzo Esposito Vinzi, Yves-Marie Chatelin, Carlo Lauro. PLS path modeling
207 -- 219Huiwen Wang, Qiang Liu, Yongping Tu. Interpretation of partial least-squares regression models with VARIMAX rotation