I'm using this LDA package for R. Specifically I am trying to do supervised latent dirichlet allocation (slda). In the linked package, there's an slda.em function. However what confuses me is that ...

I'm reading Matrix decompositions and latent semantic indexing (Online edition © 2009 Cambridge UP) I'm trying to understand how you reduce the number of dimensions in a matrix. There's an example...