Exponential, Weibull and log-logistic distributions in glm()

Dear R-users!

I would like to fit exponential, Weibull and log-logistic via glm() like
functions. Does anyone know a way to do this? Bellow is a bit longer
description of my problem.

I think you want to use survreg().  It will still work when there is no 
censoring.


Adding these families to glm() would be difficult. They are really not 
generalized linear models in any of the useful senses: not exponential 
families, don't have estimating functions linear in the response 
variable, not fitted by iteratively reweighted least squares.


 	-thomas