This tutorial covers dimension reduction methods in R, including Principal Component Analysis (PCA), factor analysis, and Multidimensional Scaling (MDS), with guidance on when to use each method, how to interpret components and factors, and how to visualise results. It is aimed at researchers in linguistics and the humanities who work with complex multivariate datasets. This tutorial is part of the Language Technology and Data Analysis Laboratory (LADAL), a free, open-access research infrastructure at the University of Queensland. LADAL provides tutorials, tools, and courses for researchers working with language data. All materials are freely available at https://ladal.edu.au and are part of the Language Data Commons of Australia (LDaCA), funded by ARDC and NCRIS.