Linear Models with plssem

In plssem: Complex Partial Least Squares Structural Equation Modeling

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(plssem)
library(modsem)

This vignette demonstrates how to estimate a traditional linear PLS-SEM using continuous indicators.

Theory of Planned Behavior (Continuous Indicators)

tpb <- ' 
# Outer Model (Based on Hagger et al., 2007)
  ATT =~ att1 + att2 + att3 + att4 + att5
  SN =~ sn1 + sn2
  PBC =~ pbc1 + pbc2 + pbc3
  INT =~ int1 + int2 + int3
  BEH =~ b1 + b2

# Inner Model (Based on Steinmetz et al., 2011)
  INT ~ ATT + SN + PBC
  BEH ~ INT + PBC 
'

fit_tpb <- pls(
  tpb,
  data      = modsem::TPB,
  bootstrap = TRUE,
  sample    = 50
)
summary(fit_tpb)

plssem documentation built on March 23, 2026, 5:08 p.m.