[R] defining set of variables in a formula

[Erik Iverson]

Ozlem,

Just read ?formula, where it says:

      There are two special interpretations of ‘.’ in a formula.  The
      usual one is in the context of a ‘data’ argument of model fitting
      functions and means ‘all columns not otherwise in the formula’:
      see ‘terms.formula’.  In the context of ‘update.formula’, *only*,
      it means ‘what was previously in this part of the formula’.

So,

lm(y ~ . , data = data)

But what do you hope to conclude from an analysis with thousands
of dependent variables?

Ozlem Yanmaz wrote:
> Dear fellow R users,
> 
> I am trying to conduct a regression analysis. I have thousands of
> variables. The names are V1, V2,........V2000
> Is there an easy way to include these variables in the regression?
> my model is something like that:
> 
> model<- lm(y~V1+V2+.....+V2000, data=data)
> 
> Thanks so much in advance,
> 
> Ozlem
> 
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