[R] clogit & weights

[knouri]

Merry Christmas everyone:
I have the following data(mydat) and would like to fit a conditional logistic regression model considering "weights".
id  case exposure   weights
1     1         1          2
1     0         0          2
2     1         1          2 
2     0         0          2 
3     1         1          1 
3     0         0          1 
4     1         0          2 
4     0         1          2  The R function"clogit" is for such purposes but it ignores weights. I tried function"mclogit" instead which seems that it considers the weights option:##############################################################options(scipen=999)library(mclogit)# create the above data frameid          = c(1,1,2,2,3,3,4,4)case      = c(1,0,1,0,1,0,1,0)exposure = c(1,0,1,0,1,0,0,1)weights  = c(2,2,2,2,1,1,2,2)(mydata  = data.frame(id,case,exposure,weights)) fit      = mclogit(cbind(case,id) ~ exposure,weights=weights, data=mydata)summary(fit)######################################################################
The answer,however, doesn't seem to be correct. Could anyone pleaseprovides me with some solution to this? Thanks in advance,Keramat Nourijelyani,PhD  

	[[alternative HTML version deleted]]