The conversation between human and AI assistant.
What is Alternating Regression and how is it used for Canonical Correlation Analysis?
Can you explain to me what Alternating Regression is and how it is used for Canonical Correlation Analysis?
Of course! Alternating Regression is an iterative algorithm used in multivariate analysis, particularly in Canonical Correlation Analysis (CCA). The aim of CCA is to find the linear combination of variables from two different sets of variables that have the highest correlation.