Partial least squares regression in the social sciences
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 high...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Université d'Ottawa
2015-06-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
| Subjects: | |
| Online Access: | http://www.tqmp.org/RegularArticles/vol11-2/p052/p052.pdf |