plot the results as a biplot:
plot(config)
```
#### **10. MDS Analysis of Distributional Data**

*Summary: This brief tutorial applies MDS to the detrital zircon U-Pb dataset from Namibia, using the Kolmogorov–Smirnov statistic as a dissimilarity measure.*

Part 5 in Section 7 introduced non-metric MDS as a less-restrictive superset of classical MDS and, hence, PCA. This opens this methodology up to non-Euclidean dissimilarity measures, such as the KS-distance introduced in part 4 in Section 5 [38,48].

```
library(provenance)