Dunken

2012-May-25 09:30 UTC

### [R] Using robust std.errors instead of OLS std.errors in regression

I have to make a robust resettest. I have already calculated the robust standard errors but I don''t know how to use these in my resettest. I have made the following code: labmodel2 <- lm(formula = log(L) ~ log(W) + log(K) + log(Y), data=labordat) hc.cv <- hccm(labmodel2, "hc0") hc.cv robusttest <- coeftest(labmodel2, hc.cv) robusttest But how to use the robust standard errors in a RESET test? Thank you :D -- View this message in context: http://r.789695.n4.nabble.com/Using-robust-std-errors-instead-of-OLS-std-errors-in-regression-tp4631293.html Sent from the R help mailing list archive at Nabble.com.