loop problem for extract coefficients

Dear R users,
                      I have problem with extracting coefficients from a
object. Here, X (predictor)and Y (response) are two matrix , I am
regressing
X ( dimensions 10 x 20) on each of columns of Y[,1] (10 x 1)  and want to
store the coefficient values. I have performed a Elastic Net regression
and
I want to store the coeffcients in each iteration. I got an error message
.
I do not know where is the problem???? Please help me.

Thanks



*Code:*

-------------------------------------------------------
library(elasticnet)
X<-matrix(rnorm(200),ncol=20)
Y<-matrix(rnorm(200),ncol=20)
loop <- 20
size <- 20
enres<-matrix(nrow = size, ncol = loop)
fit<-matrix(nrow = size, ncol = loop)
store<-matrix(nrow = size, ncol = loop)
for(j in 1: 10)
print (paste(j,"/200",sep=""))
{
enres<-enet(x=X,y=Y[,j],lambda=1,normalize=TRUE,intercept=TRUE)
fit<-predict.enet(enres, X, type="coefficients")
store[,j]<-fit$coefficients
}
----------------------------------------------------

library(elasticnet)

Loading required package: lars

X<-matrix(rnorm(200),ncol=20)
Y<-matrix(rnorm(200),ncol=20)

loop <- 20
size <- 20

enres<-matrix(nrow = size, ncol = loop)
fit<-matrix(nrow = size, ncol = loop)
store<-matrix(nrow = size, ncol = loop)

for(j in 1: 10)

+ print (paste(j,"/200",sep=""))
[1] "1/200"
[1] "2/200"
[1] "3/200"
[1] "4/200"
[1] "5/200"
[1] "6/200"
[1] "7/200"
[1] "8/200"
[1] "9/200"
[1] "10/200"

{

+ enres<-enet(x=X,y=Y[,j],lambda=1,normalize=TRUE,intercept=TRUE)
+ fit<-predict.enet(enres, X, type="coefficients")
+ store[,j]<-fit$coefficients
+ }
*Error in store[, j] <- fit$coefficients :
  number of items to replace is not a multiple of replacement length

*

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