We consider the problem of testing linear hypotheses associated with a multivariate linear regression model. Classical tests for this type of hypotheses based on the likelihood ratio statistics suffer from substantial loss of power when the dimensionality of the observations is comparable to the sample size. To mitigate this problem, we propose two different classes of regularized test procedures...