Partial Least Squares Regression: And Related Dimension Reduction Methods

by Liliana Forzani and R. Dennis Cook

Partial least squares (PLS) regression is, at its historical core, a black-box algorithmic method for dimension reduction and prediction based on an underlying linear relationship between a possibly vector-valued response and a number of predictors. Through envelopes, much more has been learned about PLS regression, resulting in a mass of information that allows an envelope bridge that takes PLS regression from a black-box algorithm to a core statistical...

• Format: Hardcover
• Language: English
• ISBN: 1032773189
• ISBN13: 9781032773186
• Release Date: July 2024
• Publisher: CRC Press
• Length: 456 Pages