pls-toolbox-model-object

To build multivariate models in MATLAB, create an empty EVRIModel object, assign your x-data to the model.x field, set the desired number of components, and run the model.calibrate method to generate predictions and diagnostics.

The EVRIModel object framework supports standard chemometric model types including PCA, PLS, PCR, PLSDA, and MCR, providing a unified object-oriented container for building, calibrating, and applying these multivariate models in MATLAB.

To apply a calibrated PLS model to new data in MATLAB scripts, use the standardized EVRIModel interface to pass new data through the calibrated object, enabling you to retrieve predictions and review diagnostics for batch workflows.

Yes, you can automate model calibration and deployment within MATLAB batch workflows by using EVRIModel objects, which provide a standardized object-oriented interface for end-to-end model workflows including applying models to new data.

The standard workflow for accessing PCA scores in MATLAB involves creating an EVRIModel, assigning x-data, setting ncomp, running model.calibrate, and then directly accessing the model.scores field from the calibrated object.