Running 'tinytest.R' [189s]
Running the tests in 'tests/tinytest.R' failed.
Complete output:
  > if ( requireNamespace("tinytest", quietly=TRUE) ){
  +   options(x12.delete = TRUE)
  +   tinytest::test_package("x12")
  + }
  Loading required package: x13binary
  x12 is ready to use.
  Use the package x12GUI for a Graphical User Interface. 
  
  By default the X13-ARIMA-SEATS binaries provided by the R package x13binary
  
  are used but this can be changed with x12path(validpath) 
  
  ---------------
  
  Suggestions and bug-reports can be submitted at: https://github.com/statistikat/x12/issues
  
  test_AirPassengers.R..........    0 tests    
  test_AirPassengers.R..........    0 tests    
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Rout.spc
    Storing any program output into Rout.html
    Storing any program error messages into Rout_err.html
    Storing any diagnostics output into gra_Rout/Rout.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Rout.spc at  032  0,    0  00.00.00 
  
  test_AirPassengers.R..........    0 tests    
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0 1 1)(0 1 1) (Automatic Model Choice)
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  
  test_AirPassengers.R..........    0 tests    
  test_AirPassengers.R..........    1 tests [0;32mOK[0m 
  test_AirPassengers.R..........    2 tests [0;32mOK[0m 
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Rout.spc
    Storing any program output into Rout.html
    Storing any program error messages into Rout_err.html
    Storing any diagnostics output into gra_Rout/Rout.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Rout.spc at  032  0,    0  00.00.00 
  
  test_AirPassengers.R..........    2 tests [0;32mOK[0m --------------------------  Rout  ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0 1 1)(0 1 1) (Automatic Model Choice)
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  
  test_AirPassengers.R..........    2 tests [0;32mOK[0m 
  test_AirPassengers.R..........    3 tests [0;32mOK[0m 
  test_AirPassengers.R..........    4 tests [0;32mOK[0m 
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_1.spc
    Storing any program output into Series_1.html
    Storing any program error messages into Series_1_err.html
    Storing any diagnostics output into gra_Series_1/Series_1.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_1.spc at  032  0,    0  00.00.00 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_2.spc
    Storing any program output into Series_2.html
    Storing any program error messages into Series_2_err.html
    Storing any diagnostics output into gra_Series_2/Series_2.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_2.spc at  032  0,    0  00.00.00 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_3.spc
    Storing any program output into Series_3.html
    Storing any program error messages into Series_3_err.html
    Storing any diagnostics output into gra_Series_3/Series_3.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_3.spc at  032  0,    0  00.00.00 
  Time difference of 10.98939 secs
  
  test_AirPassengers.R..........    4 tests [0;32mOK[0m -----------------------------------------------------------------------------------
  --------------------------   Series_1   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0 1 1)(0 1 1) (Automatic Model Choice)
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  -----------------------------------------------------------------------------------
  --------------------------   Series_2   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0 1 1)(0 1 1) (Automatic Model Choice)
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  -----------------------------------------------------------------------------------
  --------------------------   Series_3   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0 1 1)(0 1 1) (Automatic Model Choice)
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  
  test_AirPassengers.R..........    4 tests [0;32mOK[0m 
  test_AirPassengers.R..........    5 tests [0;32mOK[0m 
  test_AirPassengers.R..........    6 tests [0;32mOK[0m 
  test_AirPassengers.R..........    7 tests [0;32mOK[0m 
  test_AirPassengers.R..........    7 tests [0;32mOK[0m The parameters for all objects are changed.
  
  test_AirPassengers.R..........    7 tests [0;32mOK[0m 
  test_AirPassengers.R..........    7 tests [0;32mOK[0m 
  test_AirPassengers.R..........    7 tests [0;32mOK[0m 
  test_AirPassengers.R..........    7 tests [0;32mOK[0m 
  test_AirPassengers.R..........    7 tests [0;32mOK[0m 
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_1.spc
    Storing any program output into Series_1.html
    Storing any program error messages into Series_1_err.html
    Storing any diagnostics output into gra_Series_1/Series_1.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_1.spc at  032  0,    0  00.00.00 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_2.spc
    Storing any program output into Series_2.html
    Storing any program error messages into Series_2_err.html
    Storing any diagnostics output into gra_Series_2/Series_2.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_2.spc at  032  0,    0  00.00.00 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_3.spc
    Storing any program output into Series_3.html
    Storing any program error messages into Series_3_err.html
    Storing any diagnostics output into gra_Series_3/Series_3.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_3.spc at  032  0,    0  00.00.00 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_4.spc
    Storing any program output into Series_4.html
    Storing any program error messages into Series_4_err.html
    Storing any diagnostics output into gra_Series_4/Series_4.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_4.spc at  032  0,    0  00.00.00 
  Time difference of 1.621412 secs
  
  test_AirPassengers.R..........    7 tests [0;32mOK[0m -----------------------------------------------------------------------------------
  --------------------------   Series_1   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (1,1,0)(1,1,0) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: none 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  -----------------------------------------------------------------------------------
  --------------------------   Series_2   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0,1,1)(0,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  -----------------------------------------------------------------------------------
  --------------------------   Series_3   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0,1,1)(1,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: none 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  -----------------------------------------------------------------------------------
  --------------------------   Series_4   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (1,1,1)(1,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  
  test_AirPassengers.R..........    7 tests [0;32mOK[0m 
  test_AirPassengers.R..........    8 tests [0;32mOK[0m 
  test_AirPassengers.R..........    9 tests [0;32mOK[0m 
  test_AirPassengers.R..........   10 tests [0;32mOK[0m 
  test_AirPassengers.R..........   10 tests [0;32mOK[0m Warning: 'automdl' is ignored because an ARIMA model has been specified! 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_1.spc
    Storing any program output into Series_1.html
    Storing any program error messages into Series_1_err.html
    Storing any diagnostics output into gra_Series_1/Series_1.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_1.spc at  032  0,    0  00.00.00 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_2.spc
    Storing any program output into Series_2.html
    Storing any program error messages into Series_2_err.html
    Storing any diagnostics output into gra_Series_2/Series_2.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_2.spc at  032  0,    0  00.00.00 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_3.spc
    Storing any program output into Series_3.html
    Storing any program error messages into Series_3_err.html
    Storing any diagnostics output into gra_Series_3/Series_3.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_3.spc at  032  0,    0  00.00.00 
  
   X-13ARIMA-SEATS Seasonal Adjustment Program
   Version Number 1.1 Build 60
   Execution began  032  0,    0  00.00.00 
  
    Reading input spec file from Series_4.spc
    Storing any program output into Series_4.html
    Storing any program error messages into Series_4_err.html
    Storing any diagnostics output into gra_Series_4/Series_4.udg
  
     
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) has been stored
          in the directory specified by the graphics (-g) option.
  
    NOTE: The X-13ARIMA-SEATS diagnostic file (.udg) is generated 
          since the graphics (-g) option was specified.
     
    WARNING: At least one visually significant seasonal peak has been found
             in the estimated spectrum of the regARIMA residuals.
     
    WARNING: At least one visually significant trading day peak has been
             found in one or more of the estimated spectra.
  
   Execution complete for Series_4.spc at  032  0,    0  00.00.00 
  Time difference of 1.687145 secs
  
  test_AirPassengers.R..........   10 tests [0;32mOK[0m -----------------------------------------------------------------------------------
  --------------------------   Series_1   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (1,1,0)(1,1,0) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: none 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  --- No valid previous runs. ---
  -----------------------------------------------------------------------------------
  --------------------------   Series_2   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0,1,1)(0,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  --- No valid previous runs. ---
  -----------------------------------------------------------------------------------
  --------------------------   Series_3   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0,1,1)(1,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: none 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  --- No valid previous runs. ---
  -----------------------------------------------------------------------------------
  --------------------------   Series_4   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (1,1,1)(1,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  --- No valid previous runs. ---
  
  test_AirPassengers.R..........   10 tests [0;32mOK[0m 
  test_AirPassengers.R..........   10 tests [0;32mOK[0m -----------------------------------------------------------------------------------
  --------------------------   Series_1   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (1,1,0)(1,1,0) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: none 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  -----------------------------------------------------------------------------------
  --------------------------   Series_2   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0,1,1)(0,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  --- No valid previous runs. ---
  -----------------------------------------------------------------------------------
  --------------------------   Series_3   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (0,1,1)(1,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: none 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  --- No valid previous runs. ---
  -----------------------------------------------------------------------------------
  --------------------------   Series_4   ------------------------------------
  -----------------------------------------------------------------------------------
  
  	Time Series
  
  Frequency: 12 
  Span: 1st month,1949 to 12th month,1960 
  
  	Model Definition
  
  ARIMA Model: (1,1,1)(1,1,1) 
  Model Span:  
  Transformation: Automatic selection : Log(y) 
  Regression Model: none 
  
  	Outlier Detection
  
  No outlier detection performed
  
  	Seasonal Adjustment
  
  Identifiable Seasonality: yes 
  Seasonal Peaks: rsd 
  Trading Day Peaks: sa irr 
  Overall Index of Quality of SA
  (Acceptance Region from 0 to 1)
  Q: 0.26 
  Number of M statistics outside the limits: 0 
  
  SA decomposition: multiplicative 
  Moving average used to estimate the seasonal factors: 3x3 
  Moving average used to estimate the final trend-cycle: 9-term Henderson filter
  --- No valid previous runs. ---
  
  test_AirPassengers.R..........   10 tests [0;32mOK[0m [0;34m21.7s[0m
  All ok, 10 results (21.7s)
  > 
  > proc.time()
     user  system elapsed 
     1.76    0.32   22.46