Calculate composite weights using principal component analysis (PCA)
Calculate weights for each block by extracting the first principal component of the indicator correlation matrix S_jj for each blocks, i.e., weights are the simply the first eigenvector of S_jj.
calculateWeightsPCA( .S = args_default()$.S, .csem_model = args_default()$.csem_model )
The (K x K) empirical indicator correlation matrix.
A (possibly incomplete) cSEMModel-list.
A named list. J stands for the number of constructs and K for the number of indicators.
A (J x K) matrix of estimated weights.
The mode used. Always "PCA".
NULLas there are no iterations
0 as there are no iterations