PCA performs a crucial position in dimensionality reduction by pinpointing the leading directions of variation within the data. = 0 to discover the eigenvalues ?i. lastly, the contribution rate of each principal part ?i is received, as well as the equation is as follows: We we also have to have the rstatix package, which makes it possible for us