  A new, coordinate-free (geometric) approach to multivariate statistical
analysis. General multivariate linear models and linear hypotheses are defined
in geometric form. A method of constructing statistical criteria is defined for
linear hypotheses. As a result, multivariate statistical analysis is developed
in full analogy to classical statistical analysis. This approach is based on
tensor products and modules over the ring of square matrices, supplied with an
inner product.
