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Interpretation of latent-variable regression models

✍ Scribed by Olav M. Kvalheim; Terje V. Karstang


Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
1016 KB
Volume
7
Category
Article
ISSN
0169-7439

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Interpretation of latent-variable regres
✍ Olav M. Kvalheim; Terje V. Karstang πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 1016 KB

In this work, we show that the projections of the predictors on the normalized regression vectors represent a target rotation with the responses (concentration vectors) as targets. By means of this operation the predictive ability of a latent-variable (LV) regression model and the importance of each

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A set of frameworks for latent variable multivariate regression method is developed. The first two of these frameworks describe the objective functions satisfied by the latent variables chosen in canonical coordinates regression (CCR), reduced rank regression (RRR) and SIMPLS. These frameworks show