The toolbox goes far beyond standard PLS regression, offering an ecosystem of algorithms designed for comprehensive data mining:
% Plot Q residuals vs. Hotelling's T2 plot(model, 'contribution', 'qresiduals'); matlab pls toolbox
% Create a preprocessing structure: Mean Center X and Y prep_x = preprocess('add','meancenter'); prep_y = preprocess('add','meancenter'); Use code with caution. Step 3: Calibrate the PLS Model The toolbox goes far beyond standard PLS regression,
In pharmaceutical and chemical manufacturing, batch runs yield thousands of real-time sensor metrics (temperature, pressure, pH, flow rates). models track batch progression trajectories against a "Golden Batch" profile, flagging manufacturing anomalies long before a batch is ruined. Metabolomics and Genomics prep_y = preprocess('add'