File: t_NumericalSample_split.expout

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Sample size= 100
sample= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=100 dimension=2 data=[[1000,2000],[1001,2001],[1002,2002],[1003,2003],[1004,2004],[1005,2005],[1006,2006],[1007,2007],[1008,2008],[1009,2009],[1010,2010],[1011,2011],[1012,2012],[1013,2013],[1014,2014],[1015,2015],[1016,2016],[1017,2017],[1018,2018],[1019,2019],[1020,2020],[1021,2021],[1022,2022],[1023,2023],[1024,2024],[1025,2025],[1026,2026],[1027,2027],[1028,2028],[1029,2029],[1030,2030],[1031,2031],[1032,2032],[1033,2033],[1034,2034],[1035,2035],[1036,2036],[1037,2037],[1038,2038],[1039,2039],[1040,2040],[1041,2041],[1042,2042],[1043,2043],[1044,2044],[1045,2045],[1046,2046],[1047,2047],[1048,2048],[1049,2049],[1050,2050],[1051,2051],[1052,2052],[1053,2053],[1054,2054],[1055,2055],[1056,2056],[1057,2057],[1058,2058],[1059,2059],[1060,2060],[1061,2061],[1062,2062],[1063,2063],[1064,2064],[1065,2065],[1066,2066],[1067,2067],[1068,2068],[1069,2069],[1070,2070],[1071,2071],[1072,2072],[1073,2073],[1074,2074],[1075,2075],[1076,2076],[1077,2077],[1078,2078],[1079,2079],[1080,2080],[1081,2081],[1082,2082],[1083,2083],[1084,2084],[1085,2085],[1086,2086],[1087,2087],[1088,2088],[1089,2089],[1090,2090],[1091,2091],[1092,2092],[1093,2093],[1094,2094],[1095,2095],[1096,2096],[1097,2097],[1098,2098],[1099,2099]]
sample  = class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=10 dimension=2 data=[[1000,2000],[1001,2001],[1002,2002],[1003,2003],[1004,2004],[1005,2005],[1006,2006],[1007,2007],[1008,2008],[1009,2009]]
sample10= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=80 dimension=2 data=[[1010,2010],[1011,2011],[1012,2012],[1013,2013],[1014,2014],[1015,2015],[1016,2016],[1017,2017],[1018,2018],[1019,2019],[1020,2020],[1021,2021],[1022,2022],[1023,2023],[1024,2024],[1025,2025],[1026,2026],[1027,2027],[1028,2028],[1029,2029],[1030,2030],[1031,2031],[1032,2032],[1033,2033],[1034,2034],[1035,2035],[1036,2036],[1037,2037],[1038,2038],[1039,2039],[1040,2040],[1041,2041],[1042,2042],[1043,2043],[1044,2044],[1045,2045],[1046,2046],[1047,2047],[1048,2048],[1049,2049],[1050,2050],[1051,2051],[1052,2052],[1053,2053],[1054,2054],[1055,2055],[1056,2056],[1057,2057],[1058,2058],[1059,2059],[1060,2060],[1061,2061],[1062,2062],[1063,2063],[1064,2064],[1065,2065],[1066,2066],[1067,2067],[1068,2068],[1069,2069],[1070,2070],[1071,2071],[1072,2072],[1073,2073],[1074,2074],[1075,2075],[1076,2076],[1077,2077],[1078,2078],[1079,2079],[1080,2080],[1081,2081],[1082,2082],[1083,2083],[1084,2084],[1085,2085],[1086,2086],[1087,2087],[1088,2088],[1089,2089]]
sample90= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=10 dimension=2 data=[[1090,2090],[1091,2091],[1092,2092],[1093,2093],[1094,2094],[1095,2095],[1096,2096],[1097,2097],[1098,2098],[1099,2099]]