[R] area under roc curve

[agent dunham]

Dear all, 


I want to measure the goodness of prediction of my linear model. That's why
I was thinking about the area under roc curve. 

I'm trying the following, but I don't know how to avoid the error. Any help
would be appreciated. 

library(ROCR) 

model.lm <- lm(log(outcome)~log(v1)+log(v2)+factor1)
pred<-predict(model.lm)
pred<-prediction(as.numeric(pred), as.numeric(log(outcome)))
auc<-performance(pred,"auc")

Error en prediction(as.numeric(pred), as.numeric(log(outcome))) : 
  Number of classes is not equal to 2.
ROCR currently supports only evaluation of binary classification tasks.
user at host.com

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