[Python] For Pyfixest: how to access adjusted R2 from the summary of feols?

I am using pyfixest for python (not R), and it looks close to impossible to obtain simple statistics, such as number of observations and the R-squared. I get the slopes, and I can get them even in a nice data frame using tidy(), but simple parameters that the output reports cannot be obtained for further processing:

res = pf.feols(regmodel, subset, vcov={"CRV1": "gvkey + dyear"})
print(res.summary())
tidy_df = res.tidy()

###
Estimation: OLS
Dep. var.: ln_abs_mv15, Fixed effects: 0
Inference: CRV1
Observations: 18825
| Coefficient | Estimate | Std. Error | t value | Pr(>|t|) | 2.5% | 97.5% |
|:--------------|-----------:|-------------:|----------:|-----------:|-------:|--------:|
| Intercept | 2.985 | 0.105 | 28.334 | 0.000 | 2.772 | 3.197 |
---
RMSE: 0.816 R2: 0.713

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