Based on the given feature description and task, we are analyzing the relationship between the feature "n_r_ecg_p_04" (Frequent premature ventricular contractions on ECG at the time of admission to hospital) and the presence of chronic heart failure.

To perform the analysis, we need data that includes the values of the target variable "chronic heart failure" and the feature "n_r_ecg_p_04". With this data, we can examine the distribution of "n_r_ecg_p_04" for patients with and without chronic heart failure.

Assuming we have the necessary data, we can proceed with the analysis. We will categorize the "n_r_ecg_p_04" feature into two groups: patients with chronic heart failure (target class "yes") and patients without chronic heart failure (target class "no"). For each target class, we will list the possible values of "n_r_ecg_p_04".

Here is the dictionary with the requested format:

```json
{
	"no": ["yes", "no"],  
	"yes": ["yes", "no"]
}
```

Please note that the values in the list for each target class are based on the assumption that "n_r_ecg_p_04" has only two possible categories ("yes" and "no"). If there are additional or different categories, please provide the specific value(s) so that we can update the dictionary accordingly.