 Regularized canonical correlation analysis

Regularized Canonical Correlation Analysis (RCCA) is a statistical method that extends traditional Canonical Correlation Analysis (CCA) by incorporating regularization techniques to handle situations where the number of variables exceeds the number of observations or when multicollinearity exists among the variables. CCA itself is designed to find linear relationships between two sets of multidimensional variables, effectively maximizing the correlation between linear combinations of these sets.