Based on prior knowledge, we can analyze the relationship between the feature "n_r_ecg_p_05" and the task of determining whether the myocardial infarction complications data shows chronic heart failure.

The feature "n_r_ecg_p_05" represents paroxysms of atrial fibrillation on the ECG at the time of admission to the hospital. Atrial fibrillation is a condition characterized by irregular and often rapid heart rate, causing poor blood flow and increasing the risk of developing blood clots. Chronic heart failure, on the other hand, refers to a condition where the heart is unable to pump blood effectively, leading to a variety of symptoms and complications.

To determine whether the presence of paroxysms of atrial fibrillation on the ECG relates to chronic heart failure, we can analyze the available data. By examining the myocardial infarction complications data, we can look for any patterns or associations between the feature and the occurrence of chronic heart failure.

Based on the analysis, we can create the following dictionary:

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

In this case, the feature "n_r_ecg_p_05" only has two possible values: "no" and "yes". The values represent the presence or absence of paroxysms of atrial fibrillation on the ECG at the time of admission to the hospital. The dictionary indicates that for patients without chronic heart failure (target class "no"), the possible value of the feature is "no" only. Similarly, for patients with chronic heart failure (target class "yes"), the possible value of the feature is "yes" only.

Since there are no additional values or categories for the feature, we do not include any other entries in the dictionary.