Matlab Pls Toolbox May 2026

% Load the data load spectroscopy_data

% Preprocess the data X = scale(X); y = scale(y); matlab pls toolbox

% Evaluate the model VIP = vip(PLSmodel); plot(VIP) 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. % Load the data load spectroscopy_data % Preprocess