Dominique Makowski

Although this is partially present in `predict.kmeans` but might be worth exposing it

@fweber144 thanks for letting us know! Since you seem to have a pretty good understanding of it, would you be interested maybe in maybe opening a PR to make some...

Also relevant for variable selection in general: https://onlinelibrary.wiley.com/doi/full/10.1002/bimj.201700067

> we probably don't access the data attribute for PCA anywhere right now You mean the data name or the dataset?

Long story short they are still [some cases](https://easystats.github.io/parameters/articles/standardization.html#interactions-1) where the SMART method does not perform well, in comparison to refit and also to "classic". This appears mainly for interaction terms,...

In a nutshell, the goal here is to reconstruct the standardized model.matrix (the 2nd one below) with the original model matrix and the Mean/SD of each variable... ``` r df...

I believe one of the reasons for the issues with interactions stems out of the fact that as we know, a regression model "fixes" the other parameters at 0. This...

At the same time, it suggests that the issue with interaction are not real issues, it's just that the estimates correspond to something different, but they are not wrong per...

I reckon that's the reason for partial standardized coefficients (https://www.jstor.org/stable/2684719), but we need VIF for that

TLDR; > So broadly asking, what would method "smart" do to this model: No idea Longer story: so in simpler models basic and refit are equivalent. But for more complex...