How to make predictions wit Partial Least Squares (PLSregress)
조회 수: 12 (최근 30일)
이전 댓글 표시
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?
댓글 수: 0
답변 (1개)
Juan Villacrés
2019년 2월 7일
Hi, this is the way to get the prediction.
y_pred = [ones(size(X_test ,1),1) X_test]*betaPLS;
댓글 수: 0
참고 항목
카테고리
Help Center 및 File Exchange에서 Gaussian Process Regression에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!