[R] get the parameter estimates from lm model

[Luis Ridao Cruz]

R-help,

Sorry for posting the same question (almost) once again.

I'm using a lm  model for some data.
The code is below:

fitData <- glm(pm ~ age + mw , family = binomial(link = logit), maxit =
30, data = inputModel1)

"age" is a factor and "mw" is a continous variable.

The summary function does not provide the parameter estimates for 
the first level of the categorical variable (I think the others are
relative to the first,isn't it?).

How can I get all the parameter estimates in the model?


Thank you in advance



I run on a Windows Xp machine

> version
         _              
platform i386-pc-mingw32
arch     i386           
os       mingw32        
system   i386, mingw32  
status                  
major    2              
minor    2.1            
year     2005           
month    12             
day      20             
svn rev  36812          
language R