𝔖 Bobbio Scriptorium
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Partial-Least Squares

✍ Scribed by James Robins


Book ID
119318752
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
56 KB
Volume
45
Category
Article
ISSN
0024-6301

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πŸ“œ SIMILAR VOLUMES


Handbook of Partial Least Squares || Edi
✍ Esposito Vinzi, Vincenzo; Chin, Wynne W.; Henseler, JΓΆrg; Wang, Huiwen πŸ“‚ Article πŸ“… 2009 πŸ› Springer Berlin Heidelberg 🌐 German βš– 481 KB

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

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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

Partial Least Squares Revisited
✍ Robins, James A. πŸ“‚ Article πŸ“… 2014 πŸ› Elsevier Science 🌐 English βš– 102 KB
Boosting Partial Least Squares
✍ Zhang, M. H.; Xu, Q. S.; Massart, D. L. πŸ“‚ Article πŸ“… 2005 πŸ› American Chemical Society 🌐 English βš– 430 KB
Partial least squares for discrimination
✍ Matthew Barker; William Rayens πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 154 KB