TPLSr 1.0.3

R Package for using Thresholded Partial Least Squares (TPLS) for big data regression and classification. It is developed with whole-brain neuroimaging (fMRI) MVPA predictors in mind. TPLS uses analytical calulations of partial least squares to dramatically speed-up the training of models with large number of features (~millions).

Citation: Lee, S., Bradlow, E. T., & Kable, J. W. (2021). Thresholded Partial Least Squares: Fast Construction of Interpretable Whole-brain Decoders. BioRXiv. doi: