Whether doing parametric or nonparametric regression with shrinkage, thresholding, penalized likelihood, Bayesian posterior estimators (e.g., "ridge regression, lasso, principal component regression, waveshrink" or "Markov random field"), it is common practice to rescale covariates by dividing...