Testsuite / pac: Octave compatibility fix

Use a different random seed under Octave for several tests.

Note that these tests seems fragile. Changing the seed under MATLAB often leads
to a failure.

tests/pac/trend-component-16/example1.mod

@@ -85,6 +85,11 @@ pac.update.expectation('pacman');
 initialconditions = dseries(zeros(10, M_.endo_nbr+M_.exo_nbr), 2000Q1, vertcat(M_.endo_names,M_.exo_names));
 
 // Simulate the model for 500 periods
+if isoctave
+  // Use a different seed under Octave, the OLS estimation fails with the default one
+  options_.bnlms.set_dynare_seed_to_default = false;
+  set_dynare_seed(4);
+end
 TrueData = simul_backward_model(initialconditions, 5000);
 
 // Define a structure describing the parameters to be estimated (with initial conditions). 
@@ -148,4 +153,4 @@ end
 
 if abs(lambda_nls-lambda_iterative_ols)>.01
    error('Iterative OLS and NLS do not provide consistent estimates (lambda)')
-end
+end

tests/pac/trend-component-21/example1.mod

@@ -86,6 +86,11 @@ pac.update.expectation('pacman');
 initialconditions = dseries(zeros(10, M_.endo_nbr+M_.exo_nbr), 2000Q1, vertcat(M_.endo_names,M_.exo_names));
 
 // Simulate the model for 500 periods
+if isoctave
+  // Use a different seed under Octave, the OLS estimation fails with the default one
+  options_.bnlms.set_dynare_seed_to_default = false;
+  set_dynare_seed(4);
+end
 TrueData = simul_backward_model(initialconditions, 5000);
 
 // Define a structure describing the parameters to be estimated (with initial conditions).
@@ -157,4 +162,4 @@ end
 
 if abs(lambda_nls-lambda_iterative_ols)>.01
    error('Iterative OLS and NLS do not provide consistent estimates (lambda)')
-end
+end

tests/pac/trend-component-23/example1.mod

@@ -91,6 +91,11 @@ pac.update.expectation('pacman');
 initialconditions = dseries(zeros(10, M_.endo_nbr+M_.exo_nbr), 2000Q1, vertcat(M_.endo_names,M_.exo_names));
 
 // Simulate the model for 500 periods
+if isoctave
+  // Use a different seed under Octave, the OLS estimation fails with the default one
+  options_.bnlms.set_dynare_seed_to_default = false;
+  set_dynare_seed(5);
+end
 TrueData = simul_backward_model(initialconditions, 5000);
 
 // Define a structure describing the parameters to be estimated (with initial conditions).
@@ -162,4 +167,4 @@ end
 
 if abs(lambda_nls-lambda_iterative_ols)>.01
    error('Iterative OLS and NLS do not provide consistent estimates (lambda)')
-end
+end

tests/pac/trend-component-24/example1.mod

@@ -91,6 +91,11 @@ pac.update.expectation('pacman');
 initialconditions = dseries(zeros(10, M_.endo_nbr+M_.exo_nbr), 2000Q1, vertcat(M_.endo_names,M_.exo_names));
 
 // Simulate the model for 500 periods
+if isoctave
+  // Use a different seed under Octave, the OLS estimation fails with the default one
+  options_.bnlms.set_dynare_seed_to_default = false;
+  set_dynare_seed(5);
+end
 TrueData = simul_backward_model(initialconditions, 5000);
 
 // Define a structure describing the parameters to be estimated (with initial conditions).
@@ -152,4 +157,4 @@ end
 
 if abs(lambda_nls-lambda_iterative_ols)>.01
    error('Iterative OLS and NLS do not provide consistent estimates (lambda)')
-end
+end

tests/pac/trend-component-25/example1.mod

@@ -101,6 +101,11 @@ pac.update.expectation('pacman');
 initialconditions = dseries(zeros(10, M_.endo_nbr+M_.exo_nbr), 2000Q1, vertcat(M_.endo_names,M_.exo_names));
 
 // Simulate the model for 500 periods
+if isoctave
+  // Use a different seed under Octave, the OLS estimation fails with the default one
+  options_.bnlms.set_dynare_seed_to_default = false;
+  set_dynare_seed(4);
+end
 TrueData = simul_backward_model(initialconditions, 5000);
 
 // Define a structure describing the parameters to be estimated (with initial conditions).