Since I told you exactly the same information, that was ungenerous,
to put it mildly.
On Tue, 24 Apr 2001, Simon236 wrote:
> Many thanks to Dr. Renaud Lancelot for a prompt help with my posting
> related to extracting standard errors from the "gls" model. With his
> help, I've come to a simple solution.
>
> gl <- gls(y ~ x, data.frame(cbind(x, y)), weights = varPower())
> su <- summary(gl)
> cf <- su$tTable
> err.bet <- cf[, 2]
>
> Best
> Simon Rosenfeld
>
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--
Brian D. Ripley, ripley@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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