Try this:

ix <- 1:2
lm(as.matrix(freeny[ix]) ~., freeny[-ix])


On Sun, Nov 29, 2009 at 8:56 AM, Matthieu Stigler <
matthieu.stigler@gmail.com> wrote:

> Thanks for answering so fast!!
>
>>
>>   lm(freeny)
>>
> :-)
> Ok that's working for the one equation case :-) Was example case...
>
> But now I want to have not only first column of freeny on the left but both
> first? And I don't know their names a priori...
>
> Thanks!
>
>>
>> On Sun, Nov 29, 2009 at 8:49 AM, Matthieu Stigler <
>> matthieu.stigler@gmail.com <mailto:matthieu.stigler@gmail.com>> wrote:
>>
>>    Hi
>>
>>    My goal is to do a (multiple) regression, just knowing that my Y
>>    variables will be the say k first variables of a matrix/data
>>    frame. I thought I should do it with eval(parse)) but encounter a
>>    strange problem.
>>
>>    See:
>>    lm(y~.-y, data=freeny) #that's what I want to do in the one
>>    equation case
>>    #Problem is I don't know name of the variable... only that it is
>>    the first one...
>>    #so idea is to just take first name
>>    a<-colnames(freeny)
>>    #and then use eval(parse(text=a[1]))
>>
>>    #it works if I replace y on either the left or right side:
>>    lm(eval(parse(text=a[1]))~.-y, data=freeny) #does the same
>>    lm(y~.-eval(parse(text=a[1])), data=freeny)
>>
>>    #but not if I do this call twice:
>>    lm(eval(parse(text=a[1]))~.-eval(parse(text=a[1])), data=freeny)
>>    #variable I wanted to remove (y) ist still there
>>
>>    Do you understand why I can call eval(parse) only once? Should I
>>    try a update workaround? Or have idea of any other solution? Maybe
>>    there is something much simpler I'm missing:-(
>>
>>    Thanks a lot!!!
>>
>>    Matthieu Stigler
>>
>>    ______________________________________________
>>    R-help@r-project.org <mailto:R-help@r-project.org> mailing list
>>
>>    https://stat.ethz.ch/mailman/listinfo/r-help
>>    PLEASE do read the posting guide
>>    http://www.R-project.org/posting-guide.html
>>    and provide commented, minimal, self-contained, reproducible code.
>>
>>
>>
>

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