I want to run multiple regression models in parallel. The approach that I am trying to incorporate is as follows:-
Let's say we have a dataset with 1 dependent variable (DV) as y and 4 independent variables (IVs) as - x1, x2, x3 and x4. I want to run all possible regression models -
y with x1
y with x2
y with x3
y with x4
y with x1, x2
y with x1, x2, x3, x4
So likewise we will have (2^4) -1 = 15 models. I want to have a matrix wherein I can have the representation of indicator variables for all the models and then for each row we can run regression using regular lm function.
Is this possible?
If not, is there any other way to do this?
Any kind of guidance will really be helpful.