search for: is_deadtru

...able1 123123 124351 ... 626773 Table2 Count,IS_DEAD,IS_BURNING 1231,T,F 4521,F,T ... 3321,T,T Everything looks fine when I import the data. then we get a oh_crap <- lm(table1 ~ Count + IS_DEAD + IS_BURNING, table2) Magically when I look at my oh_crap coefficents they get turned into Count, IS_DEADTRUE, IS_BURNINGTRUE I get it that it finds them to be factors by how in the name of all that is holy do I prevent them from doing that crap since later after a stepwise removal I go into one of the models grab what coefficents were kept (IS_BURNINGTTRUE now) and read future regressors from the origin...