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dbr:Partial_least_squares_path_modeling
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Partial least squares path modeling Approche PLS Mínimos cuadrados parciales en modelos de ruta
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Los mínimos cuadrados parciales en modelos de ruta (partial least squares path modeling o PLS-PM por sus siglas en inglés) es un método perteneciente a la familia de los (partial least squares structural equation modeling o PLS-SEM por sus siglas en inglés). Ambos métodos a su vez forman parte de las ecuaciones estructurales, que permiten estimar complejas relaciones de causa y efecto entre variables latentes.​​​ The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling that allows estimation of complex cause-effect relationships in path models with latent variables. L'Approche PLS est une méthode statistique qui permet de modéliser les relations complexes entre des variables observées, dites manifestes, et des variables latentes. PLS vient des expressions « Partial Least Squares regression » et/ou « Projection to Latent Structure ».
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The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling that allows estimation of complex cause-effect relationships in path models with latent variables. L'Approche PLS est une méthode statistique qui permet de modéliser les relations complexes entre des variables observées, dites manifestes, et des variables latentes. PLS vient des expressions « Partial Least Squares regression » et/ou « Projection to Latent Structure ». Los mínimos cuadrados parciales en modelos de ruta (partial least squares path modeling o PLS-PM por sus siglas en inglés) es un método perteneciente a la familia de los (partial least squares structural equation modeling o PLS-SEM por sus siglas en inglés). Ambos métodos a su vez forman parte de las ecuaciones estructurales, que permiten estimar complejas relaciones de causa y efecto entre variables latentes.​​​
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