The article introduces a new method called regxfe that can analyze data with up to 7 fixed effects. It can handle weights, robust and clustered standard errors. The method transforms the data to account for fixed effects before estimating the model. The results show that the standard errors are adjusted to account for non-identifiable parameters, improving the accuracy of the analysis.