search for: independent_vars

The general formula is y ~ a + b + c + ... There is this approach: formula <- reformulate(independent_vars, response = "y") model <- lm(formula, data = mydata) summary(model) It does not generate a string object, but the formula is still a string even if it is of class formula. Also, in this approach you only get + and if you want interactions or such you will need to code them into indepe...

...ay)^2 is still a problem with no solution that I know of but paste/as.formula. Or Bert's bquote or substitute. Rui Barradas ?s 23:18 de 29/03/2025, Ebert,Timothy Aaron escreveu: > The general formula is y ~ a + b + c + ... > > There is this approach: > formula <- reformulate(independent_vars, response = "y") > model <- lm(formula, data = mydata) > summary(model) > > It does not generate a string object, but the formula is still a string even if it is of class formula. Also, in this approach you only get + and if you want interactions or such you will need to c...

Thanks, Rich. I thought of that, too, but it violates the spirit of my restraints (to avoid character strings), which I unfortunately did not clearly articulate. So my apologies for that failure. My concern is that with more complex model formula, using as.formula, etc. to parse/convert character strings can get a bit hairy. But in most cases, as here maybe, it may be perfectly fine. So think of