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EnglishCompositional 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 |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| StatModelling2010.pdf | Documento in Post-print | DRM non definito | Utenti riconosciuti Richiedi una copia |
http://hdl.handle.net/11574/40227
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