Dear reader, The silence I've been experiencing on queries concerning sources for ways to simulate the multinomial logistic regression model (cf. my query of Nov. 16) strikes me as particular. Either simulating the model most be very simple or it is difficult. I suspect the latter. What exactly then, is this difficulty? The choice is either between simulating a multinomial distribution and then compute the model parameters; or you simulate a general linear model (i.e. manipulate the model parameters) and afterwards look how the resulting multinomial distrinution looks alike. In the latter case (which is easiest to implement), problems in expressing the polytomous response variable exist. In the first case, the mathematical form of the model is unclosed. Is there a third possibility? And if not, which of the two methods proposed here should be prefered? With regards, Jarl Kampen IPSoM (Institute for Political Sociology & Methodology), Faculty of Social & Political Sciences, Catholic University of Brussels, Vrijheidslaan 17, 1081 Brussels, Belgium. Voice +32(0)2 412 43 38. Fax +32(0)2 412 42 00. E-mail [log in to unmask] %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%