Is it worthwhile to use LASSO for variable selection even if it is cumbersome? My goal is to understand which variables out of 10 actually explain my dependent variable for a voter/election research.
Now I have put all 10 variables into a multiple regression and have filtered out all that have p value over 0.1. Now I have a model with 3 variables, all p values at 0.014 or far below and r=0.8.
It seems all fine.
Can't I just use this model? Or do I absolutely have to use lasso? Because I have tried to bring lasso to work for hours now. I can't do it (only experienced in excel). It's really frustrating all the errors R throws at me. If I have to use lasso, how can I do this the easiest? Is there any way to do LASSO or something similar with excel?

For any others that might be interested in the answer:
I managed to do the LASSO with an excel plugin into excel 365.
It did show significantly different results in comparison to stepwise.
Also, I found out that I actually want to build a causal model not a variable selection. (different terminology).
So yes LASSO seems to be worth the work.
