Beyond standard PLS, it includes Principal Component Analysis (PCA) , PLS Discriminant Analysis (PLS-DA) , and Support Vector Machines (SVM) .
It offers advanced, customizable routines like Savitzky-Golay smoothing , derivatives, multiplicative scatter correction, and Whittaker baseline correction to clean raw spectral data before modeling. matlab pls toolbox
Supports complex data structures via PARAFAC , Tucker models , and N-way PLS , alongside nonlinear methods like locally weighted regression. Beyond standard PLS
Beyond standard PLS, it includes Principal Component Analysis (PCA) , PLS Discriminant Analysis (PLS-DA) , and Support Vector Machines (SVM) .
It offers advanced, customizable routines like Savitzky-Golay smoothing , derivatives, multiplicative scatter correction, and Whittaker baseline correction to clean raw spectral data before modeling.
Supports complex data structures via PARAFAC , Tucker models , and N-way PLS , alongside nonlinear methods like locally weighted regression.