R help - Nov 2007 - help with lasso2 package

X is a matrix and F is a vector.  

F2 <- data.frame(cbind(X,F)) 

F2 

 V1         V2        V3         F
1 -0.250536332 -1.4755883 1.9580974 -2.136487
2 -0.009856084  0.4953269 0.5486092 -2.744482
3 -0.406962682  0.7729631 0.1861905 -2.891821
4  1.938780097  0.7469251 1.2537781 -1.212992
5 -0.332370358  1.1943637 0.7114278 -1.830441

modF<-formula(F ~ V1 + V2 + V3) #no error message

#general least squares model works fine

glm.F <- glm(modF, data = F2, family = gaussian)
 
#But there are unresolved errors with gl1ce

 
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.

Diana

G'day Diana,

On Fri,  9 Nov 2007 11:48:15 -0800 (PST)
<dverzi at mail.sdsu.edu> 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

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