Using Partial Least Regression in Marketing Research

Partial-least squares regression (PLS) is a statistical tool specifically designed to cope with problems like small datasets, missing values and the presence of multicollinearity . The paper proceeds first with a concise review of the PLS method.

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Year of publication:	2002
Authors:	Graber, Stéphane ; Czellar, Sandor ; Denis, Jean-Emile
Publisher:	Université <Genève> / Section des Hautes Etudes Commerciales
Subject:	Marketing \| marketing \| Multivariate Analyse \| Empirische Forschung \| empirical research \| Regressionsanalyse \| Marketingforschung \| Marketing Research

Table of Contents
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Partial least-squares regression
Methodology
Results
Future research
References

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005843541