![SOLVED:Model buidling There are many wars t0 choose variables in regression model and not all sets of variables are nested. Criteria $ to compare models: R' Adjusted R' Akaike Information Criterion Bayesian SOLVED:Model buidling There are many wars t0 choose variables in regression model and not all sets of variables are nested. Criteria $ to compare models: R' Adjusted R' Akaike Information Criterion Bayesian](https://cdn.numerade.com/ask_images/27e71c0e65fd4b7ba9c2fa3d392e69ba.jpg)
SOLVED:Model buidling There are many wars t0 choose variables in regression model and not all sets of variables are nested. Criteria $ to compare models: R' Adjusted R' Akaike Information Criterion Bayesian
![How to explain such a big difference between AIC and BIC values (lmridge package R)? - Cross Validated How to explain such a big difference between AIC and BIC values (lmridge package R)? - Cross Validated](https://i.stack.imgur.com/4UGno.png)
How to explain such a big difference between AIC and BIC values (lmridge package R)? - Cross Validated
![The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library](https://besjournals.onlinelibrary.wiley.com/cms/asset/595953a5-efec-4ad0-908d-052672069022/mee312541-fig-0003-m.jpg)