Abstract
In this paper, a methodology is proposed which can be used for the identification of classes of units showing homogeneous behavioural models estimated through PLS Path Modelling. The proposed methodology aims at discovering or validating the existence of classes of units in PLS Path models in a predictive-oriented logic, such as it has been proposed, in the framework of PLS Regression, with PLS Typological Regression. An application to a study on customer satisfaction and loyalty is shown.
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Squillacciotti, S. (2006). Classification in PLS Path Models and Local Model Optimisation. In: Spiliopoulou, M., Kruse, R., Borgelt, C., Nürnberger, A., Gaul, W. (eds) From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31314-1_28
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DOI: https://doi.org/10.1007/3-540-31314-1_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31313-7
Online ISBN: 978-3-540-31314-4
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