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

[Dunken]

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

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