Re: [R] Why removing the (Intercept) from lm is done by adding -1?

Linear regression is of the form y = mx + b right? And in R, - means omit, as in mydataframe[, -1] right? But when you specify a formula within lm(), the intercept is implicit. That is, you write: y ~ x and m and b are fitted. So if you want to omit the intercept, you use 1 as a

[R] Why removing the (Intercept) from lm is done by adding -1?

So I found out that to remove the (Intercept) term from lm's model one can add -1 to the predictors. I.e. do lm(resp ~ x1 + x2 - 1) Another way is to add 0, e.g. lm(resp ~ 0 + x1 + x2). Adding (or setting the (Intercept) term) zero seems more logical than subtracting one, but why is there the