Hi all, suppose I've got a vector y with some data (from a repeated measure design) observed given the conditions in f1 and f2. I've got a model with two unknown fix constants a and b which tries to predict y with respect to the values in f1 and f2. Here is an exsample
# "data" y <- c(runif(10, -1,0), runif(10,0,1)) # f1 f1 <- rep(c(-1.4, 1.4), rep(10,2)) # f2 f2 <- rep(c(-.5, .5), rep(10,2)) Suppose my simple model looks like y = a/f1 + b*f2 Is there a function in R which can compute the estimates for a and b? And is it possible to test the model, eg how "good" the fits of the model are? Thanks, Sven ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
