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Welcome to Regression Variance Partitioning project! The purpose of this routine is to provide a method for computing beta-weights, structure coefficients, R 2 adjustment and communality coefficients for linear models and communality coefficients for canonical correlation analysis. The project summary page. You can find here.
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Welcome to Regression Variance Partitioning project! The purpose of this routine is to provide a method for computing beta-weights, structure coefficients, R 2 adjustment and communality coefficients for linear models and communality coefficients for canonical correlation analysis. The project summary page. You can find here.

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