Apart from a few studies, there has been little new world research in wine evaluation that has ventured sensory-chemical related studies. In this paper we discuss linear and non-linear generalizations of Partial Least Squares Regression model via ANOVA type decompositions, as suitable techniques to study wine evaluation by modeling dependence among hedonic judgments, sensory characteristics, chemical-physical variables.
Sensory data analysis by linear and non-linear boosted PLS regressions
LOMBARDO, Rosaria
2009
Abstract
Apart from a few studies, there has been little new world research in wine evaluation that has ventured sensory-chemical related studies. In this paper we discuss linear and non-linear generalizations of Partial Least Squares Regression model via ANOVA type decompositions, as suitable techniques to study wine evaluation by modeling dependence among hedonic judgments, sensory characteristics, chemical-physical variables.File in questo prodotto:
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