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Application of multivariate regression methods to predict sensory quality of red wines
PLS regression sensory attributes phenolic parameters
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2015/5/18
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...
Studies on Determination of Soy Sauce Chromaticity Using a Synthesized Combination of a Spectro Colorimetric Method and the Multiple Regression Analysis
soy sauce chromaticity spectro colorimetric method regression analysis
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2009/6/18
A method of determining soy sauce chromaticity by a spectro colorimetric method was investigated to objectively evaluate the chromaticity usually decided by a visual sensory test. The objective chroma...
Linear Regression Model of the Ash Mass Fraction and Electrical Conductivity for Slovenian Honey
honey ash electrical conductivity
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2009/2/19
Mass fraction of ash is a quality criterion for determining the botanical origin of honey. At present, this parameter is generally being replaced by the measurement of electrical conductivity (κ). The...
Selection of Aroma Components to Predict Sensory Quality of Kenyan Black Teas Using a Genetic Algorithm for Multiple Linear Regression Models
black tea aroma genetic algorithm multiple regression analysis
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2010/11/22
A genetic algorithm (GA) was applied to optimizing sets of aroma components in black teas for calculating multiple linear regression (MLR) models to predict sensory scores. Selections of components we...