Hi all,
I have a dataset of about 800 observations with 19 variables. One of the variables is a dependent while the others are independent (a mix of continuous, factor, and dummy variables). I found all possible combinations for my regression model which comes down to 1024 regression models. Now, I am trying to figure out how to get the predicted y values, t_05, t_50, t_95 , t_mean (0.5*mse), mmult (matrix multiplier), predicted mean, predicted t_05, predicted t_50, and predicted_t95 for each of the regression model but I am unsure on how to go about and how to create a loop that would perform this function.
All help would be greatly appreciated! Thanks so much.
I have a dataset of about 800 observations with 19 variables. One of the variables is a dependent while the others are independent (a mix of continuous, factor, and dummy variables). I found all possible combinations for my regression model which comes down to 1024 regression models. Now, I am trying to figure out how to get the predicted y values, t_05, t_50, t_95 , t_mean (0.5*mse), mmult (matrix multiplier), predicted mean, predicted t_05, predicted t_50, and predicted_t95 for each of the regression model but I am unsure on how to go about and how to create a loop that would perform this function.
All help would be greatly appreciated! Thanks so much.
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