How to make predictions wit Partial Least Squares (PLSregress)

Hi all. I'm reading the example of how to use partial least squares (https://www.mathworks.com/help/stats/examples/partial-least-squares-regression-and-principal-components-regression.html) But I have a question, if I divide the y-data as

y_train = y(1:50);

y_test = y(51:end);

X_train = X(1:50,:);

X_test = X(51:end,:);

and I follow the exmaple by doing

[Xloadings,Yloadings,Xscores,Yscores,betaPLS] = plsregress(X_train,y_train,2);

How can I use this information in order to make predictions for the test data?

Answer 1

[Juan Villacrés]

Hi, this is the way to get the prediction.

y_pred = [ones(size(X_test ,1),1) X_test]*betaPLS;

https://www.mathworks.com/matlabcentral/answers/263963-how-to-apply-the-created-model-using-plsregress-on-test-data#answer_271889