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

Based on the feature description, it appears that the feature "loan" indicates whether the client has a personal loan or not. 

If the target variable is whether the client subscribed to a term deposit or not, we can analyze the relationship between the feature and the target by dividing the data into two groups: clients who subscribed to a term deposit ("yes" target) and clients who did not subscribe to a term deposit ("no" target). 

From the provided feature description, the only possible values for the "loan" feature are "no" and "yes". 

Based on this analysis, for clients who subscribed to a term deposit ("yes" target), the possible values of the feature "loan" are ["yes"]. 

For clients who did not subscribe to a term deposit ("no" target), the possible values of the feature "loan" are ["no"]. 

Therefore, the generated dictionary is:
```json
{
    "no": ["no"],
    "yes": ["yes"]
}
```