Background: Principal component analysis (PCA) is a method that identifies common directions within multivariate data and presents the data in as few dimensions as possible. One of the advantages of PCA is its objectivity. as the same results can be obtained regardless of who performs the analysis. However. https://zbuugh26awr9.timeblog.net/70682639/pnae-national-school-feeding-program-and-its-events-of-expansive-learnings-at-municipal-level