The use of XLSTAT in conducting principal component analysis (PCA) when evaluating the relationships between sensory and quality attributes in grilled foods

The use of XLSTAT in conducting principal component analysis (PCA) when evaluating the relationships between sensory and quality attributes in grilled foods

Multivariate statistics is a tool for examining the relationship of multiple variables simultaneously. Principal component analysis (PCA) is an unsupervised multivariate analysis technique that simplifies the complexity of data by transforming them in a few dimensions showing their trends and correl...

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Bibliographic Details
Main Authors: Natalia P. Vidal, Charles F. Manful, Thu H. Pham, Peter Stewart, Dwayne Keough, RaymondH. Thomas
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:MethodsX
Subjects:
Grilled ruminant meat
Volatile metabolites
Unfiltered beer-based marinades
SPME-GC/MS
Sensory analysis
Principal component analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016120300558

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http://www.sciencedirect.com/science/article/pii/S2215016120300558

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