Running 'fail.R' [1s]
  Running 'frontier41.R' [1s]
  Running 'frontierTest.R' [51s]
  Running 'nestedModels.R' [7s]
  Running 'translogRay.R' [1s]
  Running 'translogRayMult.R' [3s]
  Running 'wrongSkewness.R' [2s]
Running the tests in 'tests/translogRay.R' failed.
Complete output:
  > library( frontier )
  Loading required package: micEcon
  
  If you have questions, suggestions, or comments regarding one of the 'micEcon' packages, please use a forum or 'tracker' at micEcon's R-Forge site:
  https://r-forge.r-project.org/projects/micecon/
  Loading required package: lmtest
  Loading required package: zoo
  
  Attaching package: 'zoo'
  
  The following objects are masked from 'package:base':
  
      as.Date, as.Date.numeric
  
  
  Please cite the 'frontier' package as:
  Tim Coelli and Arne Henningsen (2013). frontier: Stochastic Frontier Analysis. R package version 1.1. http://CRAN.R-Project.org/package=frontier.
  
  If you have questions, suggestions, or comments regarding the 'frontier' package, please use a forum or 'tracker' at frontier's R-Forge site:
  https://r-forge.r-project.org/projects/frontier/
  > options( digits = 5 )
  > 
  > printAll <- function( x ) {
  +    for( n in names( x ) ) {
  +       cat( "$", n, "\n", sep = "" )
  +       if( n %in% c( "olsParam", "gridParam", "mleParam", "olsStdEr", "mleCov" ) ) {
  +          print( round( x[[ n ]], 2 ) )
  +       } else if( n %in% c( "fitted", "resid", "olsResid" ) ) {
  +          print( round( x[[ n ]], 3 ) )
  +       } else {
  +          print( x[[ n ]] )
  +       }
  +       cat( "\n" )
  +    }
  +    cat( "class\n" )
  +    print( class( x ) )
  + }
  > 
  > ## preparing data
  > data( germanFarms )
  > # quantity of crop outputs
  > germanFarms$qCrop <- germanFarms$vCrop / germanFarms$pOutput
  > # quantity of animal outputs
  > germanFarms$qAnimal <- germanFarms$vAnimal / germanFarms$pOutput
  > # quantity of variable inputs
  > germanFarms$qVarInput <- germanFarms$vVarInput / germanFarms$pVarInput
  > # a time trend to account for technical progress:
  > germanFarms$time <- c(1:20)
  > 
  > # estimate a translog ray production function
  > estResultRay <- frontierTranslogRay( yNames = c( "qCrop", "qAnimal" ),
  +    xNames = c( "qLabor", "land", "qVarInput" ),
  +    data = germanFarms )
  restarting with starting values multiplied by
  [1] 0.999
  Error in isSemidefinite.matrix(m = m, ...) : 
    argument 'm' must be a symmetric matrix
  Calls: frontierTranslogRay ... semidefiniteness -> isSemidefinite -> isSemidefinite.matrix
  In addition: Warning messages:
  1: In sfa(formula = sfaFormula, data = data, ...) :
    the residuals of the OLS estimates are right-skewed and the likelihood value of the ML estimation is less than that obtained using OLS; this usually indicates that there is no inefficiency or that the model is misspecified
  2: In sfa(formula = sfaFormula, data = data, ...) :
    the parameter 'gamma' is close to the boundary of the parameter space [0,1]: this can cause convergence problems and can negatively affect the validity and reliability of statistical tests and might be caused by model misspecification
  Execution halted