Following up with this,
I am now writing my own code for this, so I get to re-think some things.
What are the current best practices for organizing model parameters doing model fitting in R? I am an economist so it's things like alpha_L, alpha_K, elasticities etc.
EDIT: I mean for estimating an economic model using some sort of Iterative method, where I need to make assumptions about the values of something like the labor share, nothing to do with a model like OLS.