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Three-block data modeling by endo- and exo-LPLS regression.

Årstall	2006
Abstract	Consumer preference data are usually noisy. The products x persons data table usually produced in consumer preference studies may therefore be supplemented with two types of background informations: a products x product-properties data table and a persons x person-property data table. These additional data tables may be used for stabilizing the data modeling of the preference data statistically. Moreover, they can reveal the product-properties that are responded to differently by the different consumer segments, and the person-properties that characterize these different segments. The present chapter outlines a recent approach to analyzing the three types of data tables in an integrated fashion, and presents new modeling methods in this context.
Referanse	Sæbø, S., Martens, M., Martens, H. 2010. Three-block data modeling by endo- and exo-LPLS regression. In: Handbook of Partial Least Squares: Concepts, Methods and Applications., (Eds. V.E. Vinzi, W. Chin, J. Henseler, H. Wang), Springer-Verlag, Heidelberg, Germany. Germany ISBN 978-3-540-32825-4
Utgiver	Springer-Verlag, Heidelberg, Germany.