Choose model variables by AIC in a stepwise algorithm with the MASS package in R

Running a regression model with too many variables – especially irrelevant ones – will lead to a needlessly complex model. Stepwise can help to choose the best variables to add. Packages you need: First, choose a model and throw every variable you think has an impact on your dependent variable! I hear the voice of my undergrad professor in my ear: try not to go … Continue reading Choose model variables by AIC in a stepwise algorithm with the MASS package in R