pls_inspect: Inspect a fitted PLS-SEM model

In plssem: Complex Partial Least Squares Structural Equation Modeling

Inspect a fitted PLS-SEM model

Description

Extract important information from a fitted PlsModel. The interface is modelled after lavaan::lavInspect(): a single what argument selects which piece of information to return.

Usage

pls_inspect(object, what = "estimates", ...)

## S4 method for signature 'PlsModel'
pls_inspect(object, what = "estimates", ...)

Arguments

object	A fitted PlsModel object.
what	A single string selecting what to extract (case-insensitive); defaults to "estimates". Several values accept aliases, given in parentheses. One of: "estimates" (aliases "est", "x", "matrices") A list of the estimated model matrices in lavaan-style representation (lambda, wmat, theta, psi, C, gamma). "lambda", "wmat", "theta", "psi", "C", "gamma" The corresponding single matrix from the "estimates" list. "coef" (alias "coefficients") The model coefficients. "par" (alias "partable") The parameter table. "fit" Fit measures. "mcpls.history" (alias "history") The history of the MC-PLS estimates. "chisq" The model chi-square statistic. "chisq.df" (alias "df") The chi-square degrees of freedom. "srmr" The standardized root mean square residual. "rmsea" The root mean square error of approximation. "se" The standard errors of the estimates. "vcov" The variance-covariance matrix of the estimates. "boot" The bootstrap results. "info" A list with the number of observations (nobs), the number of latent variables (nlv), the number of observed variables (nov), and the estimation modes ("A"/"B") for each latent variable. "status" A list with the number of iterations, whether the algorithm converged, and whether the solution is admissible. "qualities" The construct qualities (Q^2). "reliabilities" (alias "rel") The construct reliabilities. "cov.lv" The model-implied covariance matrix of the latent variables. "cov.ov" The model-implied covariance matrix of the observed variables. "cov.all" The joint model-implied covariance matrix of the observed and latent variables. "r2.lv", "r2.ov", "r2.all" The model-implied R^2 for the latent variables, the observed variables, or both. "data" The (standardized) data matrix used for estimation.
...	Currently ignored.

Value

The requested information; the type depends on what (see above).

Examples

## Not run: 
  fit <- pls(model, data = data)
  pls_inspect(fit, "info")
  pls_inspect(fit, "cov.lv")

## End(Not run)

plssem documentation built on Sept. 26, 2026, 5:06 p.m.