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...0) fit <- lm(y ~ x) f <- function(x){fit$coef[1] + fit$coef[2]*x} # Manually constructing function # Would be nice to do something like this: # f<-getFunction(fit) plot(f, 0, 10) Thanks, Alex Stolpovsky ----------------------------------------- This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution...

DDear developeRs, about a year ago, Alex Stolpovsky posted an issue with predict.lm on a fit generated using poly with the raw=TRUE option and too few new data (slightly modified reproducible example below). Alex did not get any reply. I have just stumbled on the same problem, and I think that this is a bug of function poly, which arises from th...

...poly() is used to obtain prediction. Or am I missing something? Why I would want to obtain model prediction for a single point is another story. I am filling a matrix of model values one element at a time, so that the matrix can then be given to persp() (I am fitting a two-variable model). Alex Stolpovsky ----------------------------------------- This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution...