The first canonical correlation
analysis considered the relationship between athletes' likelihood of reporting concussion symptoms to the coach in a regular or big game with athletes' perceptions of the climate.
was used to examine the relationship between coping and psychological help-seeking attitudes and intentions (Guarino, 2004; Sherry & Henson, 2005).
The results show that three pairs of canonical correlation
variates are significant in the relationship between ego identity and referral program involvement.
To test the hypotheses, we conducted a canonical correlation
analysis (Tabachnick & Fidell, 2013), with the ICM skills specified as loading on the skills variates, and the ICM outcomes specified as loading on the outcomes variates.
The Canonical Correlation
Analysis (CCA) is used to improve Image Retrieval using visual and textual data of an image.
Results of the canonical correlation
analysis are summarized in Table 2.
In the canonical correlation
analysis, the first two canonical variables explained approximately 89.73% of the total available variation in the data (73.74% for the first canonical variable, 15.99% for the second) (Table 2).
For the first canonical function, results yielded maximum canonical correlation
coefficient (between the linear combinations of predictor and criterion variables) = .585 with squared canonical correlation
The orthogonal regularization canonical correlation
analysis (ORCCA) algorithm  is that the original formula of CCA algorithm with orthogonal constraints is substituted for CCA conjugate orthogonalization [6, 7].
where [W.sub.M] and [W.sub.N] are two transformations that maximize the canonical correlation
[rho] between canonical variables U and V.
In this study, the canonical correlation
between CAD and metabolic pathways gene expressions was analyzed.
For such a purpose, the authors propose an effective fusion framework that uses a Kernel-based Canonical Correlation