R help - Jul 2006 - Problem with ordered logistic regression using polr function

Hi,
I'm trying to fit a ordered logistic regression. The response variable 
(y) has three levels (0,1,2).
The command I've used is:

ordlog<-polr(y~x1+x2+x3+x4, data=finalbase, subset=heard, weight=wt, 
na.action=na.omit)

(There are no NA's in y but there are NA's in X's)

The error I'm getting is:
Warning messages:
1: non-integer #successes in a binomial glm! in: eval(expr, envir, enclos)
2: design appears to be rank-deficient, so dropping some coefs in: 
polr(right.ans ~ S107 + children + work + rel + media + V013 +

Also, if I write
summary(ordlog)

I'm getting the following error:

Re-fitting to get Hessian

Error in if (all(pr > 0)) -sum(wt * log(pr)) else Inf :
       missing value where TRUE/FALSE needed

Could anybody point out the problem?

Thanks,
Debarchana.

-- 
Debarchana Ghosh
Research Assistant
Department of Geography
University of Minnesota
PH: 8143607580
email to: ghos0033 at umn.edu
www.tc.umn.edu/~ghos0033