When I fit a linear model with many predictor variables, I can avoid writing all of them by using
. as follows:
model = lm(target_deathrate~., data = full_data)
But for models with higher complexity, I cannot make this work:
x = glm(target_deathrate~poly(., i),data = full_data)
In these cases I have to write all variables.
How to avoid writing all variable names and include all variables in my model?