In SPSS Version 19 there seems to be a new feature called Automatic Linear Modelling. It creates a 'Model' (which is new to me) and the function seems to combine a number of the functions that is typically required for prediction model development.

The functionality seems incomplete with only a subset of prediction selection techniques and most notable it's missing Backwards step wise.

QUESTIONS

• Do people see this as good or evil?
• And if 'good' then are there ways to decompose what it is doing?

To me it seems to hides a lot of steps and I'm not exactly sure how it's creating what it presents. So any pointers to tutorials or the like (as the SPSS documentation isn't great) is appreciated.

In SPSS Version 19 there seems to be a new feature called Automatic Linear Modelling. It creates a 'Model' (which is new to me) and the function seems to combine a number of the functions that is typically required for prediction model development.

The functionality seems incomplete with only a subset of prediction selection techniques and most notable it's missing Backwards step wise.

QUESTIONS

• Do people see this as good or evil?
• And if 'good' then are there ways to decompose what it is doing?
• Specifically how do I find the regression equation co-efficients when bagging or boosting?

To me it seems to hides a lot of steps and I'm not exactly sure how it's creating what it presents. So any pointers to tutorials or the like (as the SPSS documentation isn't great) is appreciated.

In SPSS Version 19 there seems to be a new feature called Automatic Linear Modelling. It creates a 'Model' (which is new to me) and the function seems to combine a number of the functions that is typically required for prediction model development.

The functionality seems incomplete with only a subset of prediction selection techniques and most notable it's missing Backwards step wise.

My question is if people see this as good or evil? And if 'good' then are there ways to decompose what it is doing? To me it seems to hides a lot of steps and I'm not exactly sure how it's creating what it presents. So any pointers to tutorials or the like (as the SPSS documentation isn't great) is appreciated.

In SPSS Version 19 there seems to be a new feature called Automatic Linear Modelling. It creates a 'Model' (which is new to me) and the function seems to combine a number of the functions that is typically required for prediction model development.

The functionality seems incomplete with only a subset of prediction selection techniques and most notable it's missing Backwards step wise.

QUESTIONS

• Do people see this as good or evil?
• And if 'good' then are there ways to decompose what it is doing?

To me it seems to hides a lot of steps and I'm not exactly sure how it's creating what it presents. So any pointers to tutorials or the like (as the SPSS documentation isn't great) is appreciated.