Hi all,

I'm doing nonlinear regressions on data with several factors. I want to fit say 
a logistic curve with different parameter values for each factor level. So I'm 
doing something like:

tmp <- by( myData, list(myFactor1, myFactor2), function(x) nls(...) )

It works fine. However, I could not find an easy way to retrieve fitted values. 
I can use fitted() on each element of tmp, but that gives me as many vectors as 
there are combinations of factor levels.

I was thinking of using by() again, but I can't figure out how to write it 
properly.

Any ideas?


Thanks a lot,

Xavier

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