[R] vcov for lm.gls

[idbg]

Dear all,
I'm using the function lm.gls but I'm puzzled by the very limited output. I
do get the regression coefficients but not their standard errors. Neither
summary(), anova() or vcov() works properly for a lm.gls object. 
Preferably I look for a function like vcov that will give me the
variance-covariance matrix for the estimated coefficients, but just the
standard errors will do. 

I'm aware of the gls(nlme), but I use a correlation and weight structure
that is not easily implemented in this function. 

Thank you in advance

Ida

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