```json
{
	"no": ["no"],  
	"yes": ["yes"]
}
```
Based on the given feature description and task, the feature "n_r_ecg_p_06" represents the presence or absence of a persistent form of atrial fibrillation on an electrocardiogram (ECG) at the time of admission to the hospital.

To analyze the relationship between this feature and the presence of chronic heart failure, we can consider the possible scenarios:

1. If the value of "n_r_ecg_p_06" is "no" (absence of persistent form of atrial fibrillation), it suggests that the patient does not have chronic heart failure.
2. If the value of "n_r_ecg_p_06" is "yes" (presence of persistent form of atrial fibrillation), it indicates that the patient may have chronic heart failure.

Based on this analysis, the dictionary can be constructed as shown above, where the "no" key corresponds to the possible values of "n_r_ecg_p_06" for patients without chronic heart failure, and the "yes" key corresponds to the possible values of "n_r_ecg_p_06" for patients with chronic heart failure.

Note: Since the feature is a categorical variable and has only two categories ('no' and 'yes'), there are no hard-to-predict values for this feature.