Below is the some code, may be helpful for you. [maybe have the finished
package which includes mlr with crossvaliation], you can check
http://cran.r-project.org/web/packages/available_packages_by_date.html.
 you can check this
"ChemometricsWithR<http://cran.r-project.org/web/packages/ChemometricsWithR/index.html>"
package.

# product crossvalidation index
crossvalind <- function(N, kfold) {
len.seg <- ceiling(N/kfold)
incomplete <- kfold*len.seg - N
complete <- kfold - incomplete
ind <- matrix(c(sample(1:N), rep(NA, incomplete)), nrow = len.seg, byrow =
TRUE)
cvi <- lapply(as.data.frame(ind), function(x) c(na.omit(x))) # a list
return(cvi)
}

N <- length(y)
kfold <- 10
cvi <- crossvalind(N, kfold)
for (i in 1:length(cvi)) {
xc <- x[cvi[-i], ]    # x in training set
yc <- y[cvi[-i]]     # y in training set
xt <- x[cvi[i], ]    # x in test set
yt <- y[cvi[i]]     # y in test set
lm.mod <- lm(yc ~ xc)
yt.pred <- predict(lm.mod, xt)
mse[i] <- sum((yt - yt.pred)^2)/length(yt)
}

plot(mse)

you can see the minimum mse and point it out.

Maybe this is what you want.

Best,

Kevin



On Wed, May 15, 2013 at 5:51 AM, Preetam Pal <lordpreetam@gmail.com> wrote:

> Hi all,
> I want to run the following Cross-validation technique on my data set:
>
>
> Variables: X, Y (each having 50 observations)
> I want to run a least-squares regression of Y on X.
> I need to divide the entire data set into 10 groups of size 5 each, keep
> one of them out as 'test' set and build the model on the basis of the
> remaining 9 groups (the 'training set').Then i calculate the MSE of the
> fitted model by applying it on the 'test set'.
>
> So, for each choice of the 'test set', I get a MSE value.
> I select that model as final which corresponds to the minimum of these 10
> MSE values.
>
> How do i get the coefficients for this model.
>
> I am a beginner in R and the help page on CROSSVAL appeared a bit confusing
> to me.
>
> Thanks for any help.
> Regards,
> Preetam
>
> --
> Preetam Pal
> (+91)-9432212774
> M-Stat 2nd Year,                                             Room No. N-114
> Statistics Division,                                           C.V.Raman
> Hall
> Indian Statistical Institute,                                 B.H.O.S.
> Kolkata.
>
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>
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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