Based on the given feature description and task, we need to analyze the relationship between the feature "IM_PG_P" (presence of a right ventricular myocardial infarction) and the presence of chronic heart failure in the patient.

To do this analysis, we will examine the distribution of the "IM_PG_P" feature for both the "yes" and "no" classes of chronic heart failure.

Here is the analysis:

- For the "no" class of chronic heart failure:
    - IM_PG_P = "no" : This indicates the absence of right ventricular myocardial infarction, which is likely associated with no chronic heart failure.

- For the "yes" class of chronic heart failure:
    - IM_PG_P = "yes" : This indicates the presence of right ventricular myocardial infarction, which could be associated with chronic heart failure.

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

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

This dictionary represents the possible values for the "IM_PG_P" feature for each class of chronic heart failure. In this case, only the values "no" and "yes" are included in the dictionary, as they directly correspond to the presence or absence of right ventricular myocardial infarction.