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Sensory analysis via multi-block multivariate additive PLS splines |
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| Authors: | Rosaria Lombardo Pietro Amenta Myrtille Vivien Robert Sabatier |
| Affiliation: | 1. Department of Management, Accounting and Quantitative Methods, Economics Faculty , Second University of Naples , Capua , CE , 81043 , Italy;2. Department of Analysis of Economic and Social Systems , University of Sannio , Benevento , BN , 81024 , Italy;3. Laboratoire de Physique Industrielle et Traitement de l’Information , EA2415, Faculté de Pharmacie, 34093 , Montpellier Cedex 5 , France |
| Abstract: | In the last decade, much effort has been spent on modelling dependence between sensory variables and chemical–physical ones, especially when observed at different occasions/spaces/times or if collected from several groups (blocks) of variables. In this paper, we propose a nonlinear generalization of multi-block partial least squares with the inclusion of variable interactions. We show the performance of the method on a known data set. |
| Keywords: | multivariate additive partial least-squares splines multi-block analysis sensorial and chemical–physical variables |