Due to the complexity of different linear combinations in canonical correlation, this approach is often difficult to interpret unless we have a clear theoretical perspective that helps us to focus on

Due to the complexity of different linear combinations in canonical correlation, this approach is often difficult to interpret unless we have a clear theoretical perspective that helps us to focus on looking for one or two significant variates. When conducting a canonical correlation however it is common to find that only the first two variate correlations provide us with meaningful results and each variate after that being less interesting. What is a variate in this analysis? What are other parts of the canonical correlation that we may want to interpret? 

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