Should I use nls for this?

Hi, 

I have a dataset with the following properties:
Y_i ~ N(mu_i, theta * (mu_i)^2) 
ln(mu_i) = B'Xi 

theta and beta's are the parameters here. 


I want to come up with a model to fit the data with the above property and
test that model on the built in R dataset quine. 

Does nls() make sense in this case? Or is there any existing R package which
can fit this model? 

-Shelly

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