Consider this simple example

```
get_reg <- function(...) {
myformula <- paste(..1, ..2)
lm(myformula, data = iris)
}
formulas <- c('~ Sepal.Length ', '~Sepal.Length + Sepal.Width')
list(depvar = 'Petal.Width',
myformula = formulas) %>%
cross_df() %>%
pmap(., ~lm(get_reg(..1, ..2))) %>%
stargazer(type = 'text')
```

which gives:

```
=====================================================================
Dependent variable:
-------------------------------------------------
..1
(1) (2)
---------------------------------------------------------------------
Sepal.Length 0.753*** 0.723***
(0.044) (0.039)
Sepal.Width -0.479***
(0.074)
Constant -3.200*** -1.563***
(0.257) (0.339)
---------------------------------------------------------------------
Observations 150 150
R2 0.669 0.743
Adjusted R2 0.667 0.739
Residual Std. Error 0.440 (df = 148) 0.389 (df = 147)
F Statistic 299.167*** (df = 1; 148) 212.412*** (df = 2; 147)
=====================================================================
Note: *p<0.1; **p<0.05; ***p<0.01
```

I do not understand why I am losing the dependent variable name. As you can see in the regression table, the dependent variable is the cryptic `..1`

instead of `Petal.Width`

.

Any ideas? Thanks!