Partial Least Squares

The utility of multivariate design in PLS modeling

Svante Wold , Mats Josefson, Johan Gottfries , and Anna Linusson

J. Chem. Inf. Model., 46(6), 2310 - 2318, 2006. Get Paper

A systematic evaluation of the benefits and hazards of variable selection in latent variable regression. Part I. Search algorithm, theory and simulations

K. Baumann , H. Albert, and M. von Korff

J. Chemom., 16(7), 339-350, 2002. Get Paper

The PLS multivariate regression model: testing the significance of successive PLS components

Aziz Lazraq , and Robert Cléroux

J. Chemom., 15(6), 523-536, 2001. Get Paper

Interactive variable selection (IVS) for PLS. Part 1: Theory and algorithms

Fredrick Lindgren, Paul Geladi, Stefan Rännar, Svante Wold

J. Chemom., 8(5), 349-363, 2001 Get Paper

Generalized PLS regression

Qing-Song Xu , Yi-Zeng Liang , Hai-Lin Shen

J. Chemom., 15(3), 135-148, 2001. Get Paper

Interpretation of regression coefficients under a latent variable regression model

Alison J. Burnham, John F. MacGregor, and Roman Viveros

J. Chemom., 15(4), 265-284, 2001. Get Paper

Choosing the number of factors in partial least squares regression: estimating and minimizing the mean squared error­ of prediction

Michael C. Denham

J. Chemom., 14(4), 351-361, 2000. Get Paper

On robust partial least squares (PLS) methods

Juan A. Gil, Rosario Romera

J. Chemom., 12(6), 365-378, 1998. Get Paper

Regression coefficients in multilinear PLS

Sijmen de Jong

J. Chemom., 12(1), 77-81, 1998. Get Paper

Prediction intervals in partial least squares

Michael C. Denham

J. Chemom., 11(1), 39-52, 1997. Get Paper

Improved PLS algorithms

Bhupinder. S. Dayal, John F. MacGregor

J. Chemom., 11(1), 73-85, 1997. Get Paper

Interactive variable selection (IVS) for PLS. Part II: Chemical applications

Fredrik Lindgren, Paul Geladi *, Anders Berglund, Michael Sjöström, Svante Wold

J. Chemom., 9(5), 331-342, 1995 Get Paper

A combined theory for PCA and PLS

Agnar Höskuldsson

J. Chemom., 9(2), 91-123, 1995. Get Paper

A theoretical foundation for the PLS algorithm

Avraham Lorber, Lawrence E. Wangen, and Bruce R. Kowalski

J. Chemom., 1(1), 19-31, 1995. Get Paper

The Probability of Chance Correlation Using Partial Least Squares (PLS)

Matthew Clark, and Richard D. Cramer III

Quant. Struct.-Act. Relat., 12(2), 137-145, 1993. Get Paper

Generating Optimal Linear PLS Estimations (GOLPE): An Advanced Chemometric Tool for Handling 3D-QSAR Problems

Massimo Baroni , Gabriele Costantino, Gabriele Cruciani, Daniela Riganelli , Roberta Valigi , and Sergio Clementi

Quant. Struct.-Act. Relat., 12(1), 9-20, 1993. Get Paper

Predictive ability of regression models. Part II: Selection of the best predictive PLS model

Massimo Baroni , Sergio Clementi, Gabriele Cruciani, Gabriele Costantino , and Daniela Riganelli , Ermanno Oberrauch

J. Chemom., 6(6), 347-356, 1992. Get Paper