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Additive Splines for Partial Least Squares Regression
Journal of the American Statistical Association, 1997Abstract This article introduces a generalization of the partial least squares regression (PLS). Transforming the predictors by means of spline functions is a useful way to extend PLS into nonlinearity and to obtain a multiresponse additive model. We describe both statistical and computational aspects of this new method, termed additive splines partial
Jean-François Durand, Robert Sabatier
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Partial least trimmed squares regression
Chemometrics and Intelligent Laboratory Systems, 2022Zhonghao Xie, Xi'an Feng, Xiaojing Chen
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Partial Least Squares Regression for Beta Regression Models
2021International ...
Bertrand, Frédéric +1 more
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A twist to partial least squares regression
Journal of Chemometrics, 2005AbstractA modification of the PLS1 algorithm is presented. Stepwise optimization over a set of candidate loading weights obtained by taking powers of the y–X correlations and X standard deviations generalizes the classical PLS1 based on y–X covariances and hence adds flexibility to the modelling.
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A novel regression method: Partial least distance square regression methodology
Chemometrics and Intelligent Laboratory Systems, 2022Bin Nie +7 more
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Outliers in partial least squares regression
Analytica Chimica Acta, 2005R. Lletí +4 more
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Partial Least-Squares Regression (PLSR)
2013Daniel V. Guebel, Néstor V. Torres
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