The article introduces a tool called robreg that offers different robust methods for analyzing linear regression models. These methods include MM-estimator, Huber and bisquare M-estimator, and S-estimator, which can handle outliers well. The tool also supports classic or robust standard errors. Additionally, it provides basic versions of LMS/LQS and LTS estimators. To use robreg, you need the moremata package. A newer version of robreg is also available.