Titlebook: New Perspectives in Partial Least Squares and Related Methods; Herve Abdi,Wynne W. Chin,Laura Trinchera Conference proceedings 2013 Spring

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A Comparison of PLS and ML Bootstrapping Techniques in SEM: A Monte Carlo Studymates under various conditions of sample size and distributional assumptions. Our results suggest that researchers might benefit by using PLS based bootstrapping with smaller sample sizes. However, at larger sample sizes the use of ML based bootstrapping is recommended.

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Pratyush N. Sharma,Kevin H. Kims that have both large and small spatial scales. These may be small binding sites inside or on the surface of the cell, or narrow passages between subcellular compartments. The great disparity in spatial scales978-1-4939-4123-0978-1-4939-3103-3

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Revisiting PLS Resampling: Comparing Significance Versus Reliability Across Range of Simulations more important to detect reliable effects, even when they are very weak. Reliability in such cases is measured by the ability to observe the same effects supported by the same patterns of variables, no matter which sets of observations (subjects) are used.11pc]Please check if inserted author affili

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Multiblock and Path Modeling with OnPLSith very good results in terms of its ability to decompose the matrices. It has been shown that OnPLS affords a reduced number of globally joint components and increased intercorrelations of scores, and that it greatly facilitates interpretation of the models. Preliminary results in the application

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