Partial Least Squares Regression: and Related Dimension Reduction Methods

by Liliana Forzani and R. Dennis Cook

Through envelopes, 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 paradigm based on objective function optimization. This book develops this bridge.

• Format: Hardcover
• Language: English
• ISBN: 1032773189
• ISBN13: 9781032773186
• Release Date: July 2024
• Publisher: CRC Press
• Length: 412 Pages
• Weight: 1.76 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"