for {matrix_fact_in, matrix_fact_out, num} = crossvalidation(10, matrix_scenarios) minimize linearize = 1 var_risk_g_75(0.75, matrix_fact_in) var_risk_75(0.75, matrix_fact_in) Solver: VAN, precision = 9, stages = 30 Value: L_num(matrix_fact_out) L_num(matrix_fact_in) cvar_dev(0.9, matrix_fact_in) meanabs_dev(matrix_fact_in) st_dev(matrix_fact_in) var_risk(0.75, matrix_fact_in) var_risk_g(0.75, matrix_fact_in) var_risk(0.9, matrix_fact_in) var_risk_g(0.9, matrix_fact_in) end for