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Partial least squares regression in the social sciences
2015
The Quantitative Methods for Psychology
Partial least square regression (PLSR) is a statistical modeling technique that extracts latent factors to explain both predictor and response variation. PLSR is particularly useful as a data exploration technique because it is highly flexible (e.g., there are few assumptions, variables can be highly collinear). While gaining importance across a diverse number of fields, its application in the social sciences has been limited. Here, we provide a brief introduction to PLSR, directed towards a
doi:10.20982/tqmp.11.2.p052
fatcat:oije6mdfkbcxzmq7bsy6domlfu