Both lm and rlm are used for multiple linear regression. rlm stands for robust multiple linear regression and so is considered to treat outliers in a better way.
How exactly does rlm and lm work? Which is better?
In what circumstances rlm is preferred over lm and vice versa?
Why is there no significance for R square parameter for the model built using rlm?
And, Are there any alternative methods other than lm and rlm for multiple linear regression in R?
