libPLS: an Integrated Library for Partial Least Squares Regression and Linear Discriminant Analysis. This library provides a whole set of easy-to-use functions for building partial least squares (PLS) regression (PLSR) and discriminant analysis (PLS-DA) models as well as predictive performance evaluation. Towards building a reliable model, we also implemented a number of commonly used outlier detection and variable selection methods that can be used to ”clean” your data by removing potential outliers and using only a sub-set of selected variables.

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  1. Gani, Walid; Limam, Mohamed: A kernel distance-based representative subset selection method (2016)