[R] Logit reality check

[Andrew Criswell]

Hello all:

I've been given the following data and have been asked to run a logit 
model using glm().  The variable, Y, is a proportion ranging from 0 to 
1, X is a covariate.  Without a base number of observations from which Y 
is computed as a proportion, I believe there is not sufficient information.

If I try the model below, R seems to grumble with a complaint.

glm(cbind(Y,1-Y) ~ X, family = binomial)

non-integer counts in a binomial glm! in: eval(expr, envir, enclos)

Am I correct to believe that more information is required?

Thanks,
ANDREW

             Y         X
 [1,]      0.40      41
 [2,]      0.19      69
 [3,]      0.20      60
 [4,]      0.29      85
 [5,]      0.14      48
 [6,]      0.20      32
 [7,]      0.11      69
 [8,]      0.28      17
 [9,]      0.35     115
[10,]     0.03      15
[11,]     0.14      11
[12,]     0.12      25