For a given class, one resulting model is set as a line, plane or hyperplane to be standardized. For other classes to be modeled, it is vital to calculate the mean orthogonal distance between the
training data samples and the line, plane or hyperplane, i.e., the residual standard deviation, which is the determinant factor for further classification.