Based on the given feature description and task, the feature "nr_02" represents the presence or absence of premature ventricular contractions in the patient's medical history. We need to analyze how this feature relates to the presence of chronic heart failure complications.

To conduct the analysis, we can examine the values of feature "nr_02" for each target class (chronic heart failure complications = yes or no).

Let's assume we have the following data for the feature "nr_02" and the presence of chronic heart failure complications:

| nr_02 | Chronic Heart Failure Complications |
|-------|-------------------------------------|
| no    | no                                  |
| yes   | no                                  |
| no    | yes                                 |
| yes   | yes                                 |
| no    | no                                  |
| no    | no                                  |
| yes   | yes                                 |

From the given data, we can observe the following relationships between the feature "nr_02" and chronic heart failure complications:

For Chronic Heart Failure Complications = no:
- Possible values of feature nr_02: ["no", "yes"]

For Chronic Heart Failure Complications = yes:
- Possible values of feature nr_02: ["yes", "no"]

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

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

This dictionary indicates the possible values of feature "nr_02" for each target class.