Second, qr is less sensitive than ols to outliers in the dependent variable since it minimizes the weighted sum of absolute deviations. Moreover, when the error terms are non-normal, qr also gives a more efficient estimator than least squares. Lastly, qr has a linear programming representation that makes estimation easy.