[R] Use glm coefficients for other datasets

[maxsilva]

Thank you for your kindness, but ive done what you've said and the problem
remains.  What im doing is pretty straightforward, 

>data
 response pred1 pred2
1       1     0    1
2       0     0    0
3       1     0    0
4       1     1    1
5       1     0    1
6       0     1    1
7       1     1    0
8       1     0    1
9       0     1    1
10      0     0    1

>sdata <- data[sample(nrow(data), 5), ] 
> sdata
 response pred1 pred2
8       1     0    1
2       0     0    0
9       0     1    1
10      0     0    1
6       0     1    1

>model<-glm(data$response~data$pred1+datos$pred2,
family=binomial(link="logit"))
> summary(model)
###the model ran correctly

But when I ask for the predictions,

> pred<- predict(model, newdata=sdata,type="response")
Mensajes de aviso perdidos
'newdata' had 5 rows but variable(s) found have 10 rows 
> length(pred)
[1] 10

And those 10 values are the fitted values corresponding for the model over
its origin dataset.

I really can't get what's the problem...

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