Based on prior knowledge, it is important to analyze how the feature "n_r_ecg_p_06" is related to the presence of chronic heart failure (target variable).

To conduct this analysis, we will observe the relationship between the feature levels (categories: 'no' and 'yes') and the target variable values (presence or absence of chronic heart failure).

Here's an analysis of the relationship between the feature "n_r_ecg_p_06" and the task of identifying chronic heart failure:

- For the target class "no":
  - Possible values of feature n_r_ecg_p_06: 'no'
- For the target class "yes":
  - Possible values of feature n_r_ecg_p_06: 'yes'

Based on this analysis, we can now create the dictionary with the above information:

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

Please note that the dictionary only includes the possible values of the feature that are associated with the respective target classes.