MCA Variables

Variables for the MCA methodology that can be accessed for plotting.

VARIABLE	MEANING	DIMENSION LENGTH
.RUY	Correlation of the predictor field.	y_ns x nm
.RUY_sig	Correlation of the predictor field where pvalue is smaller than alpha.	y_ns x nm
.SUY	Regression in space of the predictor with the singular vector.	y_ns x nm
.SUY_sig	Regression in space of the predictor with the singular vector where pvalue is smaller than alpha.	y_ns x nm
.RUZ	Correlation of the predictand field.	z_ns x nm
.RUZ_sig	Correlation of the predictand field where pvalue is smaller than alpha.	z_ns x nm
.SUZ	Regression in space of the predictand with the singular vector.	z_ns x nm
.SUZ_sig	Regression in space of the predictand with the singular vector where pvalue is smaller than alpha.	z_ns x nm
.pvalruy	Pvalue of the correlation of the predictor field.	y_ns x nm
.pvalruz	Pvalue of the correlation of the predictand field.	z_ns x nm
.Us	Singular vectors of the predictor field.	nm x nt
.Vs	Singular vectors of the predictand field.	nm x nt
.scf	Square covariance fraction of the singular values.	nm
.alpha	Significance coeficient.	1

VARIABLE	MEANING	TYPE
.dsy	Preprocessed dataset that was introduced as predictor.	Preprocess
.dsz	Preprocessed dataset that was introduced as predictand.	Preprocess