Pca Analysis, Eigenvectors.
remember how to get those right now, but you should keep in mind that’s NPCA, they are useful because the Eigenvectors of the co-variance matrix from your data. You give directions of uncorrelated features and the Eigenvalues are the variants of your data sets in each of those new features. So to