Help to get fitted and residual value

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 

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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