How to succinctly write a formula with many variables from a data frame?

Question

Suppose I have a response variable and a data containing three covariates (as a toy example): y = c(1,4,6) d = data.frame(x1 = c(4,-1,3), x2 = c(3,9,8), x3 = c(4,-4,-2))I want to fit a linear regression to the data: fit = lm(y ~ d$x1 + d$x2 + d$y2)Is there a way to write the formula, so that I don't have to write out each individual covariate? For example, something like fit = lm(y ~ d)(I want each variable in the data frame to be a covariate.) I'm asking because I actually have 50 variables in my data frame, so I want to avoid writing out `x1 + x2 + x3 + etc`.

Answer 1

Make sure the data frame has only variables you want in the model and use:

```{r}

lm(y ~ ., data = d)

```