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