Based on prior knowledge and analysis, we can determine the relationship between the feature "n_r_ecg_p_04" and the presence of chronic heart failure in myocardial infarction complications data. 

To create the dictionary, we need to examine the possible values of the feature "n_r_ecg_p_04" for each target class. 

For the target class "no" (indicating no chronic heart failure), the possible values of the feature "n_r_ecg_p_04" could be:

- 'yes'
- 'no'

For the target class "yes" (indicating presence of chronic heart failure), the possible values of the feature "n_r_ecg_p_04" could be:

- 'yes'
- 'no'

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

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

Please note that in this case, the possible values for the feature "n_r_ecg_p_04" are the same for both target classes.