Calculate composite weights using principal component analysis (PCA)

Source: R/estimators_weights.R

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
  )

Arguments

.S

The (K x K) empirical indicator correlation matrix.

.csem_model

A (possibly incomplete) cSEMModel-list.

Value

A named list. J stands for the number of constructs and K for the number of indicators.

$W

A (J x K) matrix of estimated weights.

$E

NULL

$Modes

The mode used. Always "PCA".

$Conv_status

NULL as there are no iterations

$Iterations

0 as there are no iterations