Hello, I would like to analyse a model like this:
y = 1 * ( 1 - ( x1 - x2 ) ^ 2 ) x1 and x2 are not continuous variables but factors, so the observation contain the level. Its numerical value is unknown and is to be estimated with the model. The observations look like this: y x1 x2 0.96 Alice Bob 0.84 Alice Charlie 0.96 Bob Charlie 0.64 Dave Alice etc. Each person has a numerical value. Here for example Alice = 0.2 and Bob = 0.4 Then y = 0.96 = 1* ( 1- ( 0.2-0.4 ) ^ 2 ) , see first observation. How can this be done in R ? THX , stn [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.