It is impossible for anyone to give you a useful answer without
a ***self-contained reproducible*** example.
BTW you are ***NOT*** using "lrm library" --- you are using
the rms ***package***; lrm() is a function from that package.
cheers,
Rolf Turner
On 28/05/12 05:53, irena wrote:
Hi,
I am running a logistic regression model using lrm library and I get the
following error when I run the command:
mod1<- lrm(death ~ factor(score), x=T, y=T, data = env1)
Unable to fit model using “lrm.fit”
where score is a numeric variable from 0 to 6.
LRM executes fine for the following commands:
mod1<- lrm(death ~ score, x=T, y=T, data = env1)
mod1<- lrm(death ~ factor(score)+
factor(var1)+factor(var2)+factor(var3)+
factor(var4)+factor(var5)+factor(var6)+
factor(var7), x=T, y=T, data = env1)
I do not understand why I get the error. I have tried to use glm and it
works perfectly fine.
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