I don't fully understand what you are looking for, but you may want to
check out ?predict, ?predict.lm


On Sat, Aug 24, 2013 at 7:43 AM, alR <ac331@le.ac.uk> wrote:

> I have fitted a multiple regression model to the row of a matrix using lm:
>
> ft<-lm(datos[i, ]-r1 + r2+ r3 + r4,keep.data = TRUE,model=TRUE)
>
> If I use fitted(ft) I get the list of fitted values (which I think is the
> mean of the fitted values corresponding to each of the explanatory
> variables
> (r1, r2, r3, r4)). But I need to get the fitted values list for each
> explanatory variable. How to do it?
>
> I tried with:
>
> fitted(ft, level = 3)
>
> but the fitted list returned is the same for any value of level.
>
> I am missing an argument in lm or in fitted or in both?
>
> Thank you very much.
>
> Alberto Capurro
> Marie Curie Research Fellow
> Department of Cell Physiology and Pharmacology
> College of Medicine, Biological Sciences and Psychology
> Maurice Shock Medical Sciences Building, Room 330
> University of Leicester
> Leicester LE1 9HN
> United Kingdom
>
>
>
>
>
> --
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>
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