Hi
> Hei,
>
> i) get names of object returned by lm(). in this case fit
> names(fit)
>
> output from command : names(fit)
> [1] "coefficients" "residuals" "effects" "rank"
> [5] "fitted.values" "assign" "qr" "df.residual"
> [9] "contrasts" "xlevels" "call" "terms"
>
> ii) To get residuals, enter the command
> myFitRes <- fit$residuals;
myFitRes <- residuals(fit)
>
> iii) myFitVals <- fit$fitted.values
myFitVals <- fitted(fit)
shall be prefered.
Regards
Petr
>
>
> I hope will help,
> M.O
>
> On ti., 2011-12-06 at 22:20 -0800, arunkumar1111 wrote:
> > Data<- read.csv("C:/FE and RE.csv")
> > Formula="Y~X2+X3+X4 + X5+X6
> > fit=lm(formula=Formula,data=Data)
> >
> > My sample Data
> >
> > State Year Y X2 X3 X4 X5 X6
> > S2 1960 27.8 397.5 42.2 50.7 78.3 65.8
> > S1 1960 29.9 413.3 38.1 52 79.2 66.9
> > S2 1961 29.8 439.2 40.3 54 79.2 67.8
> > S1 1961 30.8 459.7 39.5 55.3 79.2 69.6
> >
> > Is there any way to fitted and residual for the new set of data. or
should i
> > create formula manually and pass the values individually
> >
> >
> > S2 1962 31.2 492.9 37.3 54.7 77.4 68.7
> > S1 1962 33.3 528.6 38.1 63.7 80.2 73.6
> > S2 1963 35.6 560.3 39.3 69.8 80.4 76.3
> >
> >
> >
> > --
> > View this message in context:
http://r.789695.n4.nabble.com/Help-to-get-
> fitted-and-residual-value-tp4167808p4167808.html
> > Sent from the R help mailing list archive at Nabble.com.
> >
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> > and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
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