Labeling of least squares regression about invacost HOT 2 CLOSED

This is a tricky question.
I am not sure because we do not apply variance weights on observations, so the estimated coefficients will not differ from OLS - only the standard errors and tests are derived with the sandwich estimator and will differ from OLS .
However, the function can use the "weights" arguments to downweight outliers, and this is up to the user to use it or not. Maybe we should include a conditional statement to alter labeling if weights were applied?

from invacost.

I'll close this issue for now since we have used the OLS term until now, we can reopen it later if we feel we need to change the name.

from invacost.