Discriminant partial least squares analysis on compositional data

Gallo, Michele (2010) Discriminant partial least squares analysis on compositional data. Statistical Modelling, 10 (1). pp. 41-56. ISSN 1471-082X

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Official URL: http://smj.sagepub.com/


Compositional data are 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 difining the variables that more influence the discrimination between the observations is the goal.

Item Type:Article
Uncontrolled Keywords:Aitchison distance, compositional observation, discriminant analysis, logcontrast, partial least squares
Subjects:AREA 13 - Scienze economiche e statistiche > STATISTICA
ID Code:324
Deposited By:Prof. Michele Gallo
Deposited On:28 Sep 2010 22:17
Last Modified:28 Sep 2010 22:17

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