To analyze the relationship between the feature D_AD_ORIT and the presence of chronic heart failure, we need to examine the typical values of D_AD_ORIT for each target class. 

Due to the lack of specific ranges provided for this numeric variable, we'll use common knowledge and assume that lower values of diastolic blood pressure may indicate chronic heart failure, while higher values may indicate a lack of chronic heart failure.

Based on this assumption, we'll analyze the D_AD_ORIT values for patients with and without chronic heart failure by looking for typical values in each class.

To create the dictionary with the requested format, let's assume the following:

- Target class "no" represents patients without chronic heart failure.
- Target class "yes" represents patients with chronic heart failure.

Analysis:

For the target class "no" (patients without chronic heart failure), the typical D_AD_ORIT values could be:
- 60.0
- 65.0
- 70.0
- 75.0
- 80.0

For the target class "yes" (patients with chronic heart failure), the typical D_AD_ORIT values could be:
- 90.0
- 95.0
- 100.0
- 105.0
- 110.0

Based on this analysis, we can create the dictionary with the requested format:

```json
{
	"no": [60.0, 65.0, 70.0, 75.0, 80.0],
	"yes": [90.0, 95.0, 100.0, 105.0, 110.0]
}
```