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Application of Multivariate Regression Methods to Predict Sensory Quality of Red Wines

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Application of Multivariate Regression Methods to Predict Sensory Quality of Red Wines

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Aleixandre Tudo, J.; Alvarez Cano, MI.; García Esparza, MJ.; Lizama Abad, V.; Aleixandre Benavent, JL. (2015). Application of Multivariate Regression Methods to Predict Sensory Quality of Red Wines. Czech Journal of Food Sciences. 33(3):217-227. doi:10.17221/370/2014-CJFS

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/67439

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Title: Application of Multivariate Regression Methods to Predict Sensory Quality of Red Wines
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments
Issued date:
Abstract:
Several multivariate methods including partial least squares (PLS) regression, principal component regression (PCR) or multiple linear regression (MLR) have been applied to predict wine quality, based on the definition ...[+]
Subjects: PLS regression , Sensory attributes , Phenolic parameters
Copyrigths: Reserva de todos los derechos
Source:
Czech Journal of Food Sciences. (issn: 1212-1800 ) (eissn: 1805-9317 )
DOI: 10.17221/370/2014-CJFS
Publisher:
CZECH ACADEMY AGRICULTURAL SCIENCES
Publisher version: https://dx.doi.org/10.17221/370/2014-CJFS
Description: Copyright - Czech Academy of Agricultural Sciences The original publication is available on http://agriculturejournals.cz/web/cjfs.htm
Type: Artículo

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