Books

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

 

Facts

Year 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.
Reference 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
Publisher Springer-Verlag, Heidelberg, Germany.

Related persons

  • Magni Martens

    Senior Research Scientist / Professor of Sensory Science (h.c.) affiliated to Univ. of Copenhagen, DK

    Phone: +47 64970420

    Cellphone: +47 481 34 856

  • Harald Martens

    Senior Research Scientist/Prof II, Centre for Integrative Genetics (CIGENE), UMB/Adj.prof. Univ of Copenhagen, Denmark

    Phone: +47 64970291

    Cellphone: +47 950 75 025