Partial least squares for simultaneous reduction of response and predictor vectors in regression.
R. Dennis CookLiliana ForzaniLan LiuPublished in: J. Multivar. Anal. (2023)
Keyphrases
- partial least squares
- principal component regression
- dimension reduction
- discriminant analysis
- regression methods
- canonical correlation analysis
- regression method
- multiple regression
- principal component analysis
- feature vectors
- neural network
- principal components
- factor analysis
- ls svm
- pattern recognition
- feature extraction
- feature space
- data sets
- machine learning