Classical approaches to variance/covariance estimations are very sensitive to outliers. In the present paper a robust approach, based on an M-estimator, is proposed. Monte Carlo simulations show that the strategy provides better results than conventional indirect methods under the presence of outliers. Two examples of application are provided; dealing with both uncorrelated and correlated errors.