Partial Least Squares Revisited
β Scribed by Robins, James A.
- Book ID
- 121532053
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 102 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0024-6301
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π SIMILAR VOLUMES
Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of
Partial least squares (PLS) regression has been proposed as an alternative regression technique to more traditional approaches such as principal components regression and ridge regression. A number of algorithms have appeared in the literature which have been shown to be equivalent. Someone wishing