outer() or some other function for regression prediction with 2 IVs

Thanks. I was able to get what I wanted by doing this:



predxn <- function(s,d) { coef(m3)[1] + coef(m3)[2]*s + coef(m3)[3]*s^2 + coef(m3)[4]*d + coef(m3)[5]*d^2 }


But it's not very elegant...

You didn't take Michael's hint:

coef(m3) %*% cbind(1, s, s^2, d, d^2)

or even

predict(m3, newdata=data.frame(x1=s, x2=d))

(in which x1, x2 needs replacement to match the names used in m3). 

Also, a quick (but not fast) solution to the generic non-vectorized-function problem is to Vectorize() it.

// joseph w. clark , phd candidate
\\ usc marshall school of business 		 	   		  

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