[R] lm weight adj r-sq

[agent dunham]

Dear all, 

First of all apologies, I'm pretty newbie, and secondly I know this is not a
question for the forum but I'd be very grateful if you'd help me. 

I had problems with normality assumptions, and I tried with weights in the
linear regression this way: 

modelw <-lm(log(v1)~v2+log(v2)+log(v3)+v4, data=dat, weight=1/group.var^2)

I'd like to know how interpret/compute adj R-sq/mse from modelw, in order to
compare it to the adj R-sq/mse from model 
(model <- lm(log(v1)~v2+log(v2)+log(v3)+v4, data=dat)

Thanks in advance, user at host.com

pd I set the weights following this notes: 

(I was reading here:
statistics.unl.edu/faculty/bilder/stat870/schedule/Chapter%2011.doc
http://statistics.unl.edu/faculty/bilder/)

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