shiny

Normalisation is required only if the predictors are not meant to be comparable on the original scaling. There’s no rule that says you must normalize. PCA is a statistical method that gives you a new linear transformation. By itself, it loses nothing. All it does is to give you new principal components. You lose information … Read more