[R] help for performing regressions based on combination of predictors

[Lily]

Thanks! However, what I mean is performing 31
regressions based on the combinations of the
predictors. I don't consider interaction in 
this case. So, the regressions are like
lm(y~x1+x2) or lm(Y~x1+x2+x3),or lm(y~x1+x2+x4)
...etc.

--- Patrick Connolly <p.connolly at hortresearch.co.nz>
wrote:
> On Sun, 31-Aug-2003 at 06:06PM -0700, Lily wrote:
> 
> |> Dear All,
> |> 
> |> I would like to perform linear regressions based
> on Y
> |> and all of the combinations of the five
> predictors,
> |>
>
i.e.,(y,x1,x2),(y,x1,x3),....,(y,x1,x2,x4,x5),....,(y,x1,x2,x3,x4,x5).
> |> 
> |> Is there any quick way to do it instead of repeat
> |> performing regressions for 31 times? Or, is there
> 
> |> any method to manipulate the dataset into the 31
> |> combinations?
> 
> Probably, but it's simpler to put them all in the
> formula:
> 
> lm(y ~ x1 * x2 * x3 * x4 *x5)
> 
> 
> -- 
> Patrick Connolly
> HortResearch
> Mt Albert
> Auckland
> New Zealand 
> Ph: +64-9 815 4200 x 7188
>
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