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Eliminates highly correlated variables.
When several variables have a high correlation, the variable(s) with the lower intensity will be deleted, leaving the most intense variable.
Generally used in combination with CODA and COMPARLCMS applications.
- data = matrix to be analyzed or a dataset object. Only included rows and columns will be analyzed
- level_corr = sets the correlation level above which variables will be eliminated. A plot will be made when level_corr is given.
- corr_val = correlation values used for elimination.