Abstract: This paper considers a class of linear estimators of regression parameters in a linear model, which contains many well-known linear estimators such as ridge regression, principal components, shrunken least squares and the iteration estimators. The admissibility of the estimators is studied and the comparisons among them are made under the matrix mean square error criterion.