Based on prior knowledge, there may be a relationship between the feature "n_r_ecg_p_06" and the occurrence of chronic heart failure in myocardial infarction patients. Persistent form of atrial fibrillation on ECG at the time of admission to the hospital could be an indicator of chronic heart failure.

To analyze the relationship, we need to examine the distribution of the feature values for each target class (chronic heart failure: yes or no). Let's generate the dictionary:

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

The possible values of the feature "n_r_ecg_p_06" for the target class "no" are ["no"] and for the target class "yes" are ["no", "yes"].

Note: If there are additional values for the feature "n_r_ecg_p_06" that are hard to predict or occur rarely, they can be excluded from the dictionary as long as the lists for each target class are not empty.