In this example, we load the spectroscopic data, preprocess it using scaling, and then perform PLS regression using the plsregress function. We evaluate the model using the VIP score and plot the results.
, is a comprehensive chemometric software package used for multivariate data analysis and modeling. It is widely applied in fields like chemistry, biology, and materials science to handle complex spectral and sensory data. Key Functionalities matlab pls toolbox
Supports complex data structures via PARAFAC , Tucker models , and N-way PLS , alongside nonlinear methods like locally weighted regression. In this example, we load the spectroscopic data,