G'day Diana,
On Fri, 9 Nov 2007 11:48:15 -0800 (PST)
<[EMAIL PROTECTED]> wrote:
> #general least squares model works fine
>
> glm.F <- glm(modF, data = F2, family = gaussian)
glm() fits generalised linear models which are different from
general(ised) least squares models. The latter can be fitted with the
function gls() from the nlme package (and, presumably, also with
functions provided by other packages),
> gl1F<-gl1ce(modF, data=F2, family=gaussian)
>
> Error in family(family) : link "family" not available for
> gaussian family; available links
> are 'inverse', 'log', 'identity'
>
> > gl1F<-gl1ce(modF, data=F2, family=gaussian(link="identity"))
>
> Error in eval(expr, envir, enclos) : object "etastart" not
> found
>
> Please advise.
Use l1ce(). l1ce() returns what gl1ce() should return for the gaussian
family with identical link. Similar to the relationship between lm(...)
and glm(..., family=gaussian).
Hope this helps.
Best wishes,
Berwin
=========================== Full address =============================
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Dept of Statistics and Applied Probability +65 6515 6650 (self)
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