When the information given by a panel of judges on wine sensory characteristics is resumed in a threeway table, Y, and the objective is to extract knowledge from a chemical data-set, X, which has a predictive power for wine sensorial variables, the study of the relationships between chemical–physical variables and sensorial data sets is really complex. In this paper after resuming the information in Y, we propose to consider multivariate additive partial least squares via splines, recently presented in literature, to predict Y by X.
The Analysis of Sensory and Chemical-Physical Variables via Multivariate Additive PLS Splines
LOMBARDO, Rosaria
2011
Abstract
When the information given by a panel of judges on wine sensory characteristics is resumed in a threeway table, Y, and the objective is to extract knowledge from a chemical data-set, X, which has a predictive power for wine sensorial variables, the study of the relationships between chemical–physical variables and sensorial data sets is really complex. In this paper after resuming the information in Y, we propose to consider multivariate additive partial least squares via splines, recently presented in literature, to predict Y by X.File in questo prodotto:
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