Predict values in Multidimensional Scaling (MDS) in R



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) <- predict(prin_comp, newdata = pca.test)

Thank you,


You can try neural networks


Thank you.
Is there a way to use the MDS model from the training set in the test set?