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.
calculateOuterWeightsPLS(
   .data   = args_default()$.data,  
   .S      = args_default()$.S,
   .W      = args_default()$.W,
   .E      = args_default()$.E,
   .modes  = args_default()$.modes
   )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.
The (K x K) empirical indicator correlation matrix.
A (J x K) matrix of weights.
A (J x J) matrix of inner weights.
A vector giving the mode for each construct in the form "name" = "mode".
Only used internally.
A (J x K) matrix of outer weights.