check_args: Check arguments for `plspm` and `plspm.fit`

Description

Internal function not to be called by the user

check_args(Data, path_matrix, blocks, scaling, modes,
    scheme, scaled, tol, maxiter, plscomp, boot.val, br,
    dataset)

list of validated arguments

Data: numeric matrix or data frame containing the manifest variables.
path_matrix: square (lower triangular) boolean matrix for inner model.
blocks: List of vectors (either numeric or character) to specify the blocks of manifest variables asociated to the latent variables.
scaling: optional list of string vectors indicating the type of measurement scale for each manifest variable specified in blocks.
modes: character indicating the type of measurement.
scheme: string indicating the type of inner weighting scheme.
scaled: logical indicating whether scaling data is performed.
tol: decimal value indicating the tol criterion for covergence.
maxiter: integer indicating the maximum number of iterations.
plscomp: optional vector indicating the number of PLS components (for each block) to be used when handling non-metric data (only used if scaling is provided)
boot.val: whether bootstrap validation is performed.
br: integer indicating the number bootstrap resamples.
dataset: whether the data matrix should be retrieved.

Do NOT use this function unless you are ME, a package developer, or a jedi user who really knows what is doing (seriously!)

Internal function. check_args is called by plspm.