In order to solve heteroscedasticity in my data, I ran a regression with heteroscedasticity-consistent ("robust") standard errors. I used SPSS, but to my current knowledge that is only able to output the following values (columns):
[heteroscedasticity-consistent SEs](https://i.sstatic.net/STN2h.png)
I would also like to report i) standardized betas together with confidence intervals, ii) Tolerance and iii) VIF. Is there a way to get these values with R? The R outputs for parameter estimates with robust SEs e.g. using the sandwich package do not seem to readily provide them. I would like to be able to generate a table similar to the first one in this image:
[regression table with more data](https://i.sstatic.net/EUXxo.png), but additionally with confidence intervals for beta (rather than the unstandardized coefficient).

Here is the dataset if it helps: https://docs.google.com/spreadsheets/d/13U7xDK7otj-vBOcx6yTpsguAd-wlFNad/edit?usp=sharing&ouid=113244913961284427801&rtpof=true&sd=true