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$residuals;
iii) myFitVals <- fit$fitted.values
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
>
>
>
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