[R] Multinomial Logit Regression

_Fede_ r_stat_solutions at hotmail.es
Fri Apr 11 20:35:36 CEST 2008

Hi all,

I have a dataset with a response variable with three categories (1, 2, 3)
and a lot of continuous variables. I'd like to make a MLR with these
variables. I've been watching the libraries nnet and zelig for this purpose
but I don't understand them well.

I use a training sample data to make the MLR.

train.set <- sample(1:1000,1000*0.7)

I have done this:

net <- nnet(response.variable~., data = train.set)

Error in terms.formula(formula, data = data) : 
  '.' in formula y there is no 'data' argument 

z=zelig(Alt.categ ~., model = "mlogit",data=train.set)

Error in terms.formula(object[[i]], specials = c("id", "tag")) : 
  '.' in formula y there is no 'data' argument 

What's wrong here? How can I make this in the correct form?

Thank you in advance.


View this message in context: http://www.nabble.com/Multinomial-Logit-Regression-tp16628196p16628196.html
Sent from the R help mailing list archive at Nabble.com.

More information about the R-help mailing list