Browsing by Subject "partial least squares"
Now showing items 1-4 of 4
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Prediction-oriented model selection in partial least squares path modeling
(2018)Partial least squares path modeling (PLS‐PM) has become popular in various disciplines to model structural relationships among latent variables measured by manifest variables. To fully benefit from the predictive capabilities ... -
Predictions from Partial Least Squares Models
(Emerald Publishing Limited, 2018)This chapter seeks to introduce partial least squares (PLS) practitioners to the generation and evaluation of predictions from their path models, both as a means of validating the practical usefulness of ... -
SEMinR: Domain-specific language for building, estimating, and visualizing structural equation models in R
(The Comprehensive R Archive Network, 2021)SEMinR allows researchers to easily create, estimate, and visualize structural equation models (SEMs) for multiple estimation methods. SEMs are popular modeling techniques in social sciences and the life sciences, and ...