# calculateWeightsPCA

0th

Percentile

##### 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.

##### Usage
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

##### Aliases
• calculateWeightsPCA
Documentation reproduced from package cSEM, version 0.1.0, License: GPL-3

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