$16$ is mainly used to predict the consumer price index of taro and it strongly correlates with the input information for taro from one month before and one, two and three years before. Compared with Cluster $16$, Cluster $17$ affects the three output dimensions more equally.

- Cluster $7$ is a part of Cluster $3$, and consists of smaller clusters of $11$, $12$ and $13$. These clusters have mutually different relationships with the output dimension values: Cluster $11$ correlates positively with consumer price indices of taro and carrot, and negatively with that of radish. It mainly uses recent information about carrot (within a year) and the values of taro of five, $17$ and $29$ months before. Cluster $13$ is mainly used to predict the radish output value. It has a positive correlation with the input information for taro, radish and carrot of about six, $18$ and $30$ months earlier, and it has a negative correlation with values for one month before and one, two and three years before. The absolute values of the correlations between Cluster $12$ and the output dimension values are less than $0.2$, so, unlike with Clusters $11$ and $13$, it does not significantly affect the prediction 