MCA Variables ============= Variables for the :doc:`/api/spy4cast.spy4cast.MCA` methodology that can be accessed for plotting. .. table:: :class: variables-table +----------+-----------------------------------------------------------------------------------------------------+------------------+ | 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 | +----------+-----------------------------------------------------------------------------------------------------+------------------+ .. table:: :class: variables-table +---------------+------------------------------------------------------------+--------------------------------------------+ | VARIABLE | MEANING | TYPE | +===============+============================================================+============================================+ | .dsy | Preprocessed dataset that was introduced as predictor. | Preprocess | +---------------+------------------------------------------------------------+--------------------------------------------+ | .dsz | Preprocessed dataset that was introduced as predictand. | Preprocess | +---------------+------------------------------------------------------------+--------------------------------------------+