Partial least squares (PLS) has proven to be a important multivariate analytic tool for positron emission tomographic and, more recently, event-related potential (ERP) data. The application to ERP incorporates the ability to analyze space and time together, a feature that has obvious appeal for event-related functional magnetic resonance imaging (fMRI) data. This paper presents the extension of...

Segmentation is a critical issue for PLS path modeling. Group specific model estimates can significantly differ from other groups or the overall model estimates (Ringle, Wende, & Will, 2007). Sequential segmentation strategies on the manifest data level, such as K-means or tree clustering, usually fail to identify groups of data with distinctive inner path model estimates (Ringle, 2006). The au...

today event tourism is an important strategy for distributing tourism accurate and square in different areas and in different times. this research helps to fulfill the research gaps in terms of cultural events and also will try to survey the sensational elements in order to have a successful implement every year in kerman province for sadeh celebration. the research in terms of goal is practica...

In many domains (marketing, social sciences, etc.) the variables of interest are often not directly observable. Complex causal relationships between such latent variables may be modeled by means of Structural Equation Models (SEM). Two different methodologies exist for the estimation of such models: SEM-ML (Maximum Likelihood Approach to Structural Equation Models), also known as LISREL (Linear...

Primary lateral sclerosis (PLS) has been regarded as a rare, extreme form of amyotrophic lateral sclerosis (ALS). Like ALS, it is a clinical diagnosis without established biomarkers. We sought to explore loss of cerebral myelin in relation to clinical features, including cognitive impairment, in cases of both ALS and PLS. A novel MRI sequence (mcDESPOT) sensitive to water pools within myelin an...

A multivariate dominant factor based non-linearized PLS model is proposed. The intensities of different lines were taken to construct a multivariate dominant factor model, which describes the dominant concentration information of the measured species. In constructing such a multivariate model, non-linear transformation of multi characteristic line intensities according to the physical mechanism...