Basically all I want to do is predict a scalar response using some curves. I've got as far as doing a regression (using fRegress from the fda package) but have no idea how to apply the results to a NEW set of curves (for prediction). I have N=536 curves, and 536 scalar responses. Here's what I've done so far: * I've created a basis for the curves. * I've created a fdPar object to introduce a penalty * I've created the fd object using smooth.basis to smooth the curves with the chosen penalty on the specified basis. * I've ran a regression using fRegress(), regressing the curves on the scalar response. Now, all I'd like to do, is use that regression to produce predictions for a new set of data that I have. I can't seem to find an easy way to do this. Cheers [[alternative HTML version deleted]]