Principal components analysis of descriptive sensory data: Reflections, challenges, and suggestions

This article presents a discussion of principal components analysis descriptive sensory data. Focus is on standardization, many correlated variables, validation, and the use data in preference mapping. Different ways performing are presented discussed with focus how to obtain informative reliable results. The results will be commented light experience. All methods illustrated by calculations based real ends list suggestions for all topics covered. Practical Application about using (PCA) science. applicability ideas this relevant types general comprise areas such as variables. target group readers scientist who uses PCA daily basis may have questions regarding method best possible way.