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libPLS is an integrated library for PLS and PLS-DA modeling, containing functions for data pretreatment, linear modeling, cross validation, outlier detection, a spectrum of variable selection methods etc. It features model population analysis for variable selection, such as competitive adaptive reweighted sampling (CARS), subwindow permutation analysis (SPA), random frog (RF), margin influence analysis (MIA) etc. PLS and PLS-DA are widely used methods in chemometrics, metabolomics and so on.
The most updated version is available at: www.libpls.net
Cite As
Hongdong Li (2026). libPLS_1.95.zip (https://www.mathworks.com/matlabcentral/fileexchange/47767-libpls_1-95-zip), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.2.0.0 (564 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
