Calculating the comparison tests
test.partition.pls(
x,
inner,
outer,
mode,
scheme,
scaling,
scaled,
modtwo,
signif,
method,
...
)
matrix or data frame containing the data.
A square (lower triangular) boolean matrix representing the inner model (i.e. the path relationships between latent variables).
list of vectors with column indices or column names from Data indicating the sets of manifest variables forming each block (i.e. which manifest variables correspond to each block).
character vector indicating the type of measurement for each
block. Possible values are: "A", "B", "newA", "PLScore", "PLScow"
.
The length of mode
must be equal to the length of outer
.
string indicating the type of inner weighting
scheme. Possible values are "centroid"
, "factorial"
, or
"path"
.
optional list of string vectors indicating the type of
measurement scale for each manifest variable specified in blocks
.
scaling
must be specified when working with non-metric variables.
Possible values: "num"
(numeric), "raw"
, "nom"
(nominal),
and "ord"
(ordinal).
whether manifest variables should be standardized.
Only used when scaling = NULL
. When (TRUE
, data is
scaled to standardized values (mean=0 and variance=1).
vector indicating the binary partition
string indicating the method: LM or LAD.
Further arguments passed on to test.partition.pls
.
string indicating a stop condition.
list containing matrices needed for the comparison test
Internal function. test.partition.pls
is called by pls.pathmox
.