Big data in multi-block data analysis: An approach to parallelizing Partial Least Squares Mode B algorithm
Abstract
Partial Least Squares (PLS) Mode B is a multi-block method and a tightly coupled algorithm for estimating structural equation models (SEMs). Describing key aspects of parallel computing, we approach the parallelization of the PLS Mode B algorithm to operate on large distributed data. We show the scalability and performance of the algorithm at a very fine-grained level thanks to the versatility of pbdR, a R-project library for parallel computing....
Paper Details
Title
Big data in multi-block data analysis: An approach to parallelizing Partial Least Squares Mode B algorithm
Published Date
Apr 1, 2019
Journal
Volume
5
Issue
4
Pages
e01451 - e01451
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