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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Detalles Bibliográficos
Autores principales: Vidal, Natalia P., Manful, Charles F., Pham, Thu H., Stewart, Peter, Keough, Dwayne, Thomas, RaymondH.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Food Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078354/
https://www.ncbi.nlm.nih.gov/pubmed/32195148
http://dx.doi.org/10.1016/j.mex.2020.100835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078354/
https://www.ncbi.nlm.nih.gov/pubmed/32195148
http://dx.doi.org/10.1016/j.mex.2020.100835

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