New method reveals hidden patterns in data for better decision-making.
The article discusses how to analyze and interpret data using principal component factor analysis. It explains how to calculate factor scores, interpret factor loadings, and build loading plots. The researchers used the R language to implement this analysis and interpret the results. The main goal was to develop performance rankings based on the variables' behavior.