How to save models in MLFlow with R and get Stages of them in Azure Databricks?

Question

I would like to save a model in MLFlow with Azure Databricks. In Python, I can use the following code to save a model with a name automatically:

mlflow.spark.log_model(
        model,
        artifact_path = 'model_prueba',
        registered_model_name = 'model_prueba'
    )

But I am trying to do the same with R with the following code:

mlflow_log_model(
          model,
          artifact_path = 'model_prueba_R',
          registered_model_name = 'model_prueba_R'
    )

But it does not register any model in the Models section. It only saves the model with the artifact path in the run section.

Anyone could tell me the way to save the model for staging automatically with code in R?

Thank you very much!