```json
{
    "no": ["no"],
    "yes": ["yes"]
}
```
According to the given feature description, the feature "nr_01" represents the presence or absence of premature atrial contractions in the patient's medical history. 

For the task of determining if the patient's myocardial infarction complications show chronic heart failure, the relationship between the feature "nr_01" and the target variable (presence of chronic heart failure) can be analyzed. 

Since the feature "nr_01" is categorical with two categories, "no" and "yes", the relationship can be observed as follows:

- If the value of "nr_01" is "no" (representing the absence of premature atrial contractions), there is a possibility that it may not be associated with chronic heart failure (target class "no").
- If the value of "nr_01" is "yes" (representing the presence of premature atrial contractions), there is a possibility that it may be associated with chronic heart failure (target class "yes").

Based on this analysis, the dictionary is created with the values of "nr_01" for each target class as follows:

- For the target class "no" (patients without chronic heart failure), the only possible value of "nr_01" is "no".
- For the target class "yes" (patients with chronic heart failure), the only possible value of "nr_01" is "yes".

Therefore, the resulting dictionary has the following format:

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

Note: Since the feature description does not provide any additional information or categories for "nr_01" that are hard to predict, this is the complete dictionary based on the given information.