The MxData object contains the data used for optimization. The data object may be raw data, a correlation matrix, a covariance matrix, a covariance matrix and vector of means, or a sums of squares and crossproducts matrix. Each column in the raw data or covariance matrix must have a column name. If the data is an R dataframe or covariance matrix calculated from a dataframe, these column names are automatically supplied, but these column names must be defined via dimnames for data supplied from other sources. Named columns in MxMatrices that match the dimnames in the MxData are automatically mapped to the correct column in the data.
