Principal component analysis is a versatile statistical method for reducing a cases-by-variables data table to its essential features, called principal components. Principal components are a few ...

This study evaluates the impact of pre-harvest wilting treatments (90, 75, 60, 45, and 30 days before harvest) on sugarcane quality in Ecuador, utilizing PCA Biplot and MANOVA Biplot to identify key ...