The distance plot is a scatterplot of each observation's distance from the x- and y-model. Distances from the y-model measure how well an observation is fitted in the y-space. Distances from the x-model measure how well an observation is fitted in the x-space.

When examining this plot, look for points with distances greater than other points on the x- or y-axis. Observations with greater distances from the y-model may be outliers and observations with greater distances from the x-model may be leverage points.

In this example, several observations have greater distance values, identified by brushing the points:

·    Soybean samples 41, 12, and 22 have greater distances from the y-model and may be outliers.

·    Soybean samples 24 and 15 have greater distances from the x-model and may be leverage points.

·    The soybean sample 43 has greater distances from both models, indicating it may be an outlier and a leverage point.