calculateOuterWeightsPLS: Internal: Calculate the outer weights for PLS-PM

View source: R/helper_estimators_weights.R

calculateOuterWeightsPLSR Documentation

Internal: Calculate the outer weights for PLS-PM

Description

Calculates outer weights in PLS-PM. Currently, the originally suggested mode A and mode B are suggested. Additionally, non-negative least squares (modeBNNLS) and weights of principal component analysis (PCA) are implemented.

Usage

calculateOuterWeightsPLS(
   .data   = args_default()$.data,  
   .S      = args_default()$.S,
   .W      = args_default()$.W,
   .E      = args_default()$.E,
   .modes  = args_default()$.modes
   )

Arguments

.data

A data.frame or a matrix of standardized or unstandardized data (indicators/items/manifest variables). Possible column types or classes of the data provided are: "logical", "numeric" ("double" or "integer"), "factor" ("ordered" and/or "unordered"), "character" (converted to factor), or a mix of several types.

.S

The (K x K) empirical indicator correlation matrix.

.W

A (J x K) matrix of weights.

.E

A (J x J) matrix of inner weights.

.modes

A vector giving the mode for each construct in the form "name" = "mode". Only used internally.

Value

A (J x K) matrix of outer weights.


cSEM documentation built on Nov. 25, 2022, 1:05 a.m.