aim: the aim of present study was to investigate the relationship between alexithymia construct and personality traits in university students. method: a sample of 112 undergraduate students of shahid chamran university was selected randomly and the 20-item toronto alexithymia scale and neo-ffi were administered to them. to analyze data canonical correlation analysis method was used. results: th...

Motivated from problems in canonical correlation analysis, reduced rank regression and sufficient dimension reduction, we introduce a double dimension reduction model where a single index of the multivariate response is linked to the multivariate covariate through a single index of these covariates, hence the name double single index model. Since nonlinear association between two sets of multiv...

We present an approach to integrate multiple fMRI datasets in the context of predictive fMRI data analysis. The approach utilizes canonical correlation analysis (CCA) to find common dimensions among the different datasets, and it does not require that the multiple fMRI datasets be spatially normalized. We apply the approach to the task of predicting brain activations for unseen concrete-noun wo...

2 Multiblock data analysis with the RGCCA package 1 2.1 Regularized Generalized Canonical Correlation Analysis . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Variable selection in RGCCA: SGCCA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Higher stage block components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.4 Implementatio...

in financial distress studies selection of variable is commonly basedon the success of variables in variable sets employed in earlierbankruptcy studies, suggestions in the literature or an accompanyingdata reduction in a large set of variables. if seemingly different variablesets exhibit a strong relationship then heterogeneous variable setscapture common information. canonical correlation anal...

during the past decade, the world economic forum has published its annual reports in which the global competitiveness index is included. this paper aims to investigate the key factors for achieving an innovation-driven economy. in this paper, we used partial canonical correlation analysis (pcca) to examine the relationships between key pillars in “efficiency enhancers” and “business sophisticat...

Phalaenopsis is an important genus of orchids that is grown for economical production of cut flower and potted plants. The objective of this study is the evaluation of correlation between morphological and physiological traits of self and cross-pollination of 5 varieties of Phalaenopsis orchid. Some morphological traits were measured: Capsule length (CL), capsule volume (CV), weight of seeds in...

Regularized Generalized Canonical Correlation Analysis (RGCCA) is currently geared for the analysis two-way data matrix. In this paper, multiway RGCCA (MGCCA) extends RGCCA to the multiway data configuration. More specifically, MGCCA aims at studying the complex relationships between a set of three-way data table.

Bulking and foaming are two notorious problems in activated sludge wastewater treatment plants (WWTPs), which are mainly associated with the excessive growth of bulking and foaming bacteria (BFB). However, studies on affecting factors of BFB in full-scale WWTPs are still limited. In this study, data sets of high-throughput sequencing (HTS) of 16S V3-V4 amplicons of 58 monthly activated sludge s...

In this paper we describe a method for functional connectivity analysis of fMRI data between given brain regions-of-interest (ROIs). The method relies on nonnegativity constrained- and spatially regularized multiset canonical correlation analysis (CCA), and assigns weights to the fMRI signals of the ROIs so that their representative signals become simultaneously maximally correlated. The differ...