model selection: steps, lasso, boosted regression trees
Posted: Sat Jun 25, 2016 12:47 pm
Dear all
I want to run a stepwise least squares regression (unidirectional backwards). This seems straightforward in EVIEWS. Just select equation, method: STEPS, fill in your variables and adjust the options.
Problem: I have 250+ variables. I want to regress one variable on its first two lags and on the remaining variables and 1st order lags of those variables. My question is:is there a quick way to do this? Doing this manually would be pretty much insane and I assume there has to be another way.
Other question: does EVIEWS have commands for lasso and boosted regression trees for model selection?
Thanks!
I want to run a stepwise least squares regression (unidirectional backwards). This seems straightforward in EVIEWS. Just select equation, method: STEPS, fill in your variables and adjust the options.
Problem: I have 250+ variables. I want to regress one variable on its first two lags and on the remaining variables and 1st order lags of those variables. My question is:is there a quick way to do this? Doing this manually would be pretty much insane and I assume there has to be another way.
Other question: does EVIEWS have commands for lasso and boosted regression trees for model selection?
Thanks!