التفاصيل البيبلوغرافية
| العنوان: |
The PCovR biplot: a graphical tool for principal covariates regression. |
| المؤلفون: |
Frutos-Bernal, Elisa1 (AUTHOR) efb@usal.es, Vicente-Villardón, José Luis1 (AUTHOR) |
| المصدر: |
Journal of Applied Statistics. Oct2024, p1-16. 16p. 9 Illustrations. |
| مصطلحات موضوعية: |
*REGRESSION analysis, INDEPENDENT variables |
| مستخلص: |
Biplots are useful tools because they provide a visual representation of both individuals and variables simultaneously, making it easier to explore relationships and patterns within multidimensional datasets. This paper extends their use to examine the relationship between a set of predictors $ \mathbf {X} $ X and a set of response variables $ \mathbf {Y} $ Y using Principal Covariates Regression analysis (PCovR). The PCovR biplot provides a simultaneous graphical representation of individuals, predictor variables and response variables. It also provides the ability to examine the relationship between both types of variables in the form of the regression coefficient matrix. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Business Source Index |