I’m trying to use multidimensional scaling (MDS) in R.
Can I predict new values on test set based on the values that I receive from my training set?
I’m looking for something similar to what I’ve done in PCA for example:
prin_comp <- prcomp(pca.train, scale. = FALSE) test.data <- predict(prin_comp, newdata = pca.test)