Year
2010
Authors
ESPOSITO VINZI Vincenzo, RUSSOLILLO G., TRINCHERA L.
Abstract
We present how the integration of PLS regression modules within the algorithm of PLS Path Modeling can be very helpful to improve performance of predictive path models between blocks of variables related to different concepts. The objective is to develop analyses that take into account the multidimensionality of the different blocks as well as the prediction performance of the specified model.
ESPOSITO VINZI, V., RUSSOLILLO, G. et TRINCHERA, L. (2010). An integrated PLS Regression-based approach for multidimensional blocks in PLS Path Modeling.