## ---- test-semmcci-zzz-heywood
lapply(
  X = 1,
  FUN = function(i,
                 text) {
    message(text)
    seed <- 42
    h0 <- "
      eta1 =~ 1.000 * y1
      eta1 =~ 0.991 * y2
      eta1 =~ 0.901 * y3
      eta1 =~ 1.399 * y4
      y1 ~~ 0.000 * y1
      y2 ~~ 1.000 * y2
      y3 ~~ 0.823 * y3
      y4 ~~ 0.710 * y4
    "
    sigmacap <- matrix(
      data = c(
        1.000, 0.991000, 0.901000, 1.399000,
        0.991, 1.982081, 0.892891, 1.386409,
        0.901, 0.892891, 1.634801, 1.260499,
        1.399, 1.386409, 1.260499, 2.667201
      ),
      nrow = 4
    )
    colnames(sigmacap) <- rownames(sigmacap) <- paste0("y", 1:4)
    model <- "
      eta1 =~ y1 + y2 + y3 + y4
    "
    fit <- lavaan::sem(
      model = model,
      sample.cov = sigmacap,
      sample.nobs = 50
    )
    print(lavaan::summary(fit))
    print(MCStd(MC(fit)))
  },
  text = "test-semmcci-zzz-heywood"
)