Toolbox: partial least squares and CARS for variable selection (Scripts) Publisher's description
from Hongdong Li
This toolbox implements all the routine PLS-related/based algorithms which kind of serves as the basics in chemometrics
This toolbox implements all the routine PLS-related/based algorithms which kind of serves as the basics in chemometrics, including PLS calibration and prediction, leave one out cross validation (LOOCV), K-fold cross validation, Monte Carlo cross validation(MCCV), double cross validation(DCV), repeated double cross validation (rdCV), competitive adaptive reweighed sampling (CARS),target projection (TP), variable importance projection (VIP), Monte Carlo uninformative variable elimination (MC-UVE), Monte Carlo method for outlier detectionвЂ¦
Along with the software, there are two example scripts, with filename example_nir.m and test_package_functions.m. Just run them, and you will see how these algorithms works.
If any questions and/or bugs in the code, please don't hesitate to contact me. With your kind help, we could make it better, ;-).
System Requirements:MATLAB 7.0.1 (R14SP1)
Program Release Status: New Release
Program Install Support: Install and Uninstall