Hello,

I'd like to understand 'what' is predicting the response for library(mgcv)
gam?

For example:

library(mgcv)
fit <- gam(y~s(x),data=as.data.frame(l_yx),family=binomial)
xx <- seq(min(l_yx[,2]),max(l_yx[,2]),len=101)
plot(xx,predict(fit,data.frame(x=xx),type="response"),type="l")

I want to see the generalized function(s) used to predict the response that
is plotted above. In other words, f(x) = {[what?]}. I'm new to gam and
relatively new to R. I did read ?gam, but I didn't see what I wanted.

Thanks,

Ben

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