Based on prior knowledge, we can analyze the relationship between the feature "n_r_ecg_p_08" and the occurrence of chronic heart failure in myocardial infarction complications data.

Since "n_r_ecg_p_08" represents paroxysms of supraventricular tachycardia on ECG at the time of admission to the hospital, we can infer that this feature might be related to the occurrence of chronic heart failure. Supraventricular tachycardia is a rapid heart rate originating above the ventricles, and it can contribute to the development of heart failure. Therefore, it is possible that patients with a positive presence of paroxysms of supraventricular tachycardia (value: 'yes') in "n_r_ecg_p_08" could show chronic heart failure.

To generate the dictionary, we first need to explore the possible values of the feature "n_r_ecg_p_08" for each target class:

For target class "no":
- Possible values of "n_r_ecg_p_08": ['no']

For target class "yes":
- Possible values of "n_r_ecg_p_08": ['no', 'yes']

Based on the provided information, the dictionary would look as follows:

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

This dictionary indicates that patients without chronic heart failure (target class "no") would have "n_r_ecg_p_08" value of 'no', while patients with chronic heart failure (target class "yes") can have either 'no' or 'yes' as the value for "n_r_ecg_p_08".

Please note that if there are additional possible values for the feature "n_r_ecg_p_08" that do not appear in the given data, they will not be included in the dictionary.