In case one or more sets of variables are available, the use of dimensional reduction methods could be necessary. In this contest, after a review on the link between the Shrinkage Regression Methods and Dimensional Reduction Methods, authors provide a different multivariate extension of the Garthwaite’s PLS approach (1994) where a simple linear regression coefficients framework could be given for several dimensional reduction methods.
Titolo: | Dimensionality reduction methods |
Autori: | |
Data di pubblicazione: | 2005 |
Rivista: | |
Abstract: | In case one or more sets of variables are available, the use of dimensional reduction methods could be necessary. In this contest, after a review on the link between the Shrinkage Regression Methods and Dimensional Reduction Methods, authors provide a different multivariate extension of the Garthwaite’s PLS approach (1994) where a simple linear regression coefficients framework could be given for several dimensional reduction methods. |
Handle: | http://hdl.handle.net/11574/31956 |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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