[R] fitting of all possible models

[Indermaur Lukas]

Hi,
Fitting all possible models (GLM) with 10 predictors will result in loads of (2^10 - 1) models. I want to do that in order to get the importance of variables (having an unbalanced variable design) by summing the up the AIC-weights of models including the same variable, for every variable separately. It's time consuming and annoying to define all possible models by hand. 
 
Is there a command, or easy solution to let R define the set of all possible models itself? I defined models in the following way to process them with a batch job:
 
# e.g. model 1
preference<- formula(Y~Lwd + N + Sex + YY)                                                
# e.g. model 2
preference_heterogeneity<- formula(Y~Ri + Lwd + N + Sex + YY)  
etc.
etc.
 
 
I appreciate any hint
Cheers
Lukas
 
 
 
 
 
°°° 
Lukas Indermaur, PhD student 
eawag / Swiss Federal Institute of Aquatic Science and Technology 
ECO - Department of Aquatic Ecology
Überlandstrasse 133
CH-8600 Dübendorf
Switzerland
 
Phone: +41 (0) 71 220 38 25
Fax    : +41 (0) 44 823 53 15 
Email: lukas.indermaur at eawag.ch
www.lukasindermaur.ch