The article introduces a new method for robust linear regression called Least Correntropic Loss Regression. This method aims to address the challenge of adapting the scale parameter to different types of data. By simplifying the model, the researchers were able to create a more user-friendly version of weighted linear regression. They tested this approach on simulated data and found that it performed well, demonstrating its practicality and importance in data analysis.