Normal model for distribution-free multivariate analysis

It is shown that standard quality functions of n-dimensional regularized linear multivariate procedures can be accurately estimated under the assumption that of populations normality if n is so large that it is comparable in magnitude with sample size. The correction terms are estimated from above and their upper estimates are obtained with accuracy up to absolute constants.