You could fit a linear model to original/predicted y values and get rsquared
from that.
Chris
On Mar 13, 2014 5:26 PM, Greg Snow <538...@gmail.com> wrote:
>
> Well if I had it and you asked nicely, then I would be happy to give
> it to you. Oh, you mean the gls function, not GLS as my initials
On 13 Mar 2014, at 22:26 , Greg Snow <538...@gmail.com> wrote:
> Oh, you mean the gls function, not GLS as my initials (my
> parents are OLS and WLS, perhaps I was destined to regress), sorry.
Fortune candidate?
> The gls function in the nlme package (is that the one that you are
> asking about
Well if I had it and you asked nicely, then I would be happy to give
it to you. Oh, you mean the gls function, not GLS as my initials (my
parents are OLS and WLS, perhaps I was destined to regress), sorry.
The gls function in the nlme package (is that the one that you are
asking about? or is ther
Hello,
Although lm() gives a way to get the adjusted R squared by
adjr2 <- summary(mdl)$adj.r.squared
I cannot find a way to extract the adjusted R squared from gls(), any hint?
Thanks,
Rebecca
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