I'm running some regression analyses and got pretty confused about R's output when it comes to robust regression models. When I run a `OLS` -- using the command `lm()` -- I get this as output: > Coefficients: > > Estimate Std. Error t value Pr(>|t|) But when I run a robust linear model using the `rlm()` command, the output looks like so: > Coefficients: > > Value Std. Error t value How do I get the `p-values` and the significance-levels in an `rlm` then? Without that, the whole analysis is somewhat pointless. Unfortunately, I couldn't find an answer to that anywhere, so I hope someone around here can help me out. Thanks a lot!!