## Generating Bootstrap Estimates

Although OLS can be used to estimate and
test the
unstandardized effects, it is inappropriate
for forming the confidence intervals for the
standardized effects (see
Yuan & Chan, 2011, on the issue of standardized
regression coefficients). Therefore,
we will introduce how to generate
nonparametric bootstrap estimates in this guide.

To form nonparametric bootstrap confidence intervals for
effects to be computed, `do_boot()` can be used
to generate bootstrap estimates for all regression
coefficients first. These estimates can be reused for
any effects to be estimated.


```{r do_boot}
boot_out <- do_boot(
  lm_y,
  R = 5000,
  seed = 54532
)
```

Please see `vignette("do_boot")` or
the help page of `do_boot()` on how
to use this function.
