Carry out the reduction step, typically using prcomp.įor a data matrix with \(n\) rows of observations/samples and \(p\) variables/features, the results are the.Optionally, scale the data column-wise.Center the data by subtracting the column means from the columns.If you have read the Step By Step PCA vignette, you know that the first steps in PCA are:
