Re: [R] mlogit learning error

I found out that this error means there is an underflow that is not handled by the default solve. The suggested solution is to use qr.solve() or svd instead of default.solve(). How can I modify mlogit to use qr.solve() instead of solve.default()? Thanks On Thu, Apr 19, 2012 at 2:10 PM, geek gir

Re: [R] mlogit learning error

Thank you for your response. Each v can take a a value from 1 to 100. Input data subset: v1.data v1 v2 v3 v4 v5 1 1591 5152 2 1591783 3 1591 4611 4 1991 8411 5 1591 31 4 6 1

Re: [R] mlogit learning error

There's something in your data that makes the model computationally singular when you take the various subsettings... Can you provide a small reproducible example so we can help narrow it down? It looks like you're using different data for each mlogit though so I'm not sure how the comparison that

[R] mlogit learning error 2

I forgot to say that the models for v2 and v5 worked fine on a smaller dataset, but gave me this error on a larger dataset. Thanks [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r

[R] mlogit learning error

I am learning five mlogits as follows v1.model<-mlogit(v1~1|v2+v3+v4+v5, data=mlogit.v1.data, reflevel="1") v2.model<-mlogit(v2~1|v1+v3+v4+v5, data=mlogit.v2.data, reflevel="1") v3.model<-mlogit(v3~1|v1+v2+v4+v5, data=mlogit.v3.data, reflevel="1") v4.model<-mlogit(v4~1|v1+v2+v3+v5, data=mlogit.v4.