摘要: Canonical correlation analysis is a statistical method employed to investigate relationships among two or more variable sets, each consisting of at least variables. the multivariate form general linear model, which presumes that all analyses are correlational, derive estimates by applying weights measured variables, and yield variance-accounted-for effect sizes. As case throughout GLM, noteworthy functions must be interpreted consulting both standardized structure coefficients in concert with other. Keywords: multivariate statistics; general model; correlation; experimentwise error; structure
sci-hub.se 参考文章(7)
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