Compositional data is commonly present in many disciplines. Nevertheless, it is often improperly incorporated into statistical modelling and a misleading interpretation of the results is given. This paper explains how partial least squares for discrimination is an adequate technique for compositional data when a dimensional reduction of original variables is needed and defines the variables that more influence the discrimination between the observations is the goal.
Titolo: | Discriminant Partial Least Squares analysis on compositional data | |
Autori: | ||
Data di pubblicazione: | 2010 | |
Rivista: | ||
Abstract: | Compositional data is commonly present in many disciplines. Nevertheless, it is often improperly incorporated into statistical modelling and a misleading interpretation of the results is given. This paper explains how partial least squares for discrimination is an adequate technique for compositional data when a dimensional reduction of original variables is needed and defines the variables that more influence the discrimination between the observations is the goal. | |
Handle: | http://hdl.handle.net/11574/40227 | |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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