calculateWeightsPCA {cSEM} | R Documentation |

## Calculate composite weights using principal component analysis (PCA)

### Description

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

[Package

*cSEM*version 0.5.0 Index]