View source: R/matrixpls.sempls.R
matrixpls.sempls | R Documentation |
matrixpls.sempls
mimics sempls
function of the semPLS
package.
The arguments and their default values and the output of the function are identical with sempls
function,
but internally the function uses matrixpls estimation.
matrixpls.sempls(
model,
data,
maxit = 20,
tol = 1e-07,
scaled = TRUE,
sum1 = FALSE,
wscheme = "centroid",
pairwise = FALSE,
method = c("pearson", "kendall", "spearman"),
convCrit = c("relative", "square"),
verbose = TRUE,
...
)
model |
An object inheriting from class |
data |
A |
maxit |
A |
tol |
A |
scaled |
A |
sum1 |
A |
wscheme |
A
|
pairwise |
A |
method |
A
For more details on the method, the R help, |
convCrit |
The convergence criteria to use:
|
verbose |
Logical: If |
... |
Other arguments are ignored |
An object of class sempls
.
Monecke, A., & Leisch, F. (2012). semPLS: Structural Equation Modeling Using Partial Least Squares. Journal of Statistical Software, 48(3), 1–32.
data(ECSImobi)
ecsi <- matrixpls.sempls(model=ECSImobi, data=mobi, wscheme="pathWeighting")
## Values of 'sempls' objects
names(ecsi)
ecsi$outer_weights
ecsi$outer_loadings
ecsi$path_coefficients
ecsi$total_effects
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