Running 'anova.gls.R' [1s]
  Running 'augPred_lab.R' [21s]
  Running 'augPredmissing.R' [1s]
  Running 'coef.R' [0s]
  Comparing 'coef.Rout' to 'coef.Rout.save' ... OK
  Running 'contrMat.R' [0s]
  Running 'data.frame.R' [0s]
  Running 'deparse.R' [1s]
  Running 'deviance.R' [1s]
  Running 'fitted.R' [0s]
  Running 'getData.R' [0s]
  Running 'gls.R' [0s]
  Running 'gnls-ch8.R' [1s]
  Running 'lmList.R' [1s]
  Running 'lme.R' [3s]
  Comparing 'lme.Rout' to 'lme.Rout.save' ...92,95c92
< Error in logLik.lmeStructInt(lmeSt, lmePars) : 
<   'Calloc' could not allocate memory (890472804 of 8 bytes)
< In addition: Warning message:
< In lme.formula(distance ~ 1, data = Orthodont, random = ~Subject) :
---
> Error in lme.formula(distance ~ 1, data = Orthodont, random = ~Subject) : 
  Running 'missing.R' [1s]
  Comparing 'missing.Rout' to 'missing.Rout.save' ... OK
  Running 'nlme-stall.R' [0s]
  Running 'nlme.R' [2s]
  Running 'nlme2.R' [1s]
  Running 'predict.lme.R' [1s]
  Running 'sigma-fixed-etc.R' [16s]
  Running 'updateLme.R' [1s]
  Running 'varIdent.R' [0s]
Running the tests in 'tests/lmList.R' failed.
Complete output:
  > ## PR#13788
  > 
  > library(nlme)
  > packageDescription("nlme")# gets the .Library one even in R CMD checking < FIXME !
  Package: nlme
  Version: 3.1-137
  Date: 2018-04-07
  Priority: recommended
  Title: Linear and Nonlinear Mixed Effects Models
  Authors@R: c(person("José", "Pinheiro", role = "aut", comment = "S
          version"), person("Douglas", "Bates", role = "aut", comment =
          "up to 2007"), person("Saikat", "DebRoy", role = "ctb", comment
          = "up to 2002"), person("Deepayan", "Sarkar", role = "ctb",
          comment = "up to 2005"), person("EISPACK authors", role =
          "ctb", comment = "src/rs.f"), person("Siem", "Heisterkamp",
          role = "ctb", comment = "Author fixed sigma"), person("Bert",
          "Van Willigen",role = "ctb", comment = "Programmer fixed
          sigma"), person("R-core", email = "R-core@R-project.org", role
          = c("aut", "cre")))
  Description: Fit and compare Gaussian linear and nonlinear
          mixed-effects models.
  Depends: R (>= 3.4.0)
  Imports: graphics, stats, utils, lattice
  Suggests: Hmisc, MASS
  LazyData: yes
  ByteCompile: yes
  Encoding: UTF-8
  License: GPL (>= 2) | file LICENCE
  BugReports: https://bugs.r-project.org
  NeedsCompilation: yes
  Packaged: 2018-04-07 08:11:41 UTC; ripley
  Author: José Pinheiro [aut] (S version), Douglas Bates [aut] (up to
          2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb]
          (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem
          Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb]
          (Programmer fixed sigma), R-core [aut, cre]
  Maintainer: R-core <R-core@R-project.org>
  Repository: CRAN
  Date/Publication: 2018-04-07 12:20:09 UTC
  Built: R 3.5.3; x86_64-w64-mingw32; 2019-04-04 15:11:55 UTC; windows
  
  -- File: D:/RCompile/recent/R-3.5.3/library/nlme/Meta/package.rds 
  > 
  > qm <-  lmList(height ~ age | Subject, data = Oxboys)
  > nd <- with(Oxboys,
  +            expand.grid(age = seq(min(age),max(age),length=50),
  +                        Subject = levels(Subject))
  +            )
  > 
  > ## failed in 3.1-92
  > res <- predict(qm, nd, se=TRUE)
  > stopifnot(is.data.frame(res), dim(res) == c(1300, 3),
  +           identical(names(res), c("Subject", "fit", "se.fit")))
  > 
  > req <- ranef(qm)
  > (p.req <- plot(req, xlab = "R.Eff.", ylab = "Subj"))
  > # Fails (p.re2 <- plot(req, age ~ fitted(.)))
  > iqm <- intervals(qm)
  > stopifnot(is.array(iqm), dim(iqm) == c(26,3,2))
  > p.iq <- plot(iqm, ylab = "Subject [factor]")
  Error in bwplot.formula(x = group ~ intervals | what, data = list(group = c(1L,  : 
    formal argument "ylab" matched by multiple actual arguments
  Calls: plot ... dotplot.formula -> eval.parent -> eval -> eval -> <Anonymous>
  Execution halted