read c1-c4;
file 'adopt.dat';
format (A18, I6, I6, I6).
name c1 'Country' c2 'Visa88' c3 'Visa91' c4 'Visa92'.
save 'adopt'.
erase c1-c4.
#
read c1;
file 'census1.dat'.
name c1 'Income'.
save 'census1'.
erase c1.
#
read c1-c8;
file 'census2.dat'.
name c1 'Size1' c2 'Size2' c3 'Size4' c4 'Size10'.
name c5 'Size25' c6 'Size50' c7 'Size100' c8 'Size625'.
save 'census2'.
erase c1-c8.
#
read c1-c8;
file 'census3.dat'.
name c1 'Size1L' c2 'Size2L' c3 'Size4L' c4 'Size10L'.
name c5 'Size25L' c6 'Size50L' c7 'Size100L' c8 'Size625L'.
save 'census3'.
erase c1-c8.
#
read c1-c8;
file 'census4.dat'.
name c1 'Size1M' c2 'Size2M' c3 'Size4M' c4 'Size10M'.
name c5 'Size25M' c6 'Size50M' c7 'Size100M' c8 'Size625M'.
save 'census4'.
erase c1-c8.
#
read c1-c8;
file 'census5.dat'.
name c1 'Size1ML' c2 'Size2ML' c3 'Size4ML' c4 'Size10ML'.
name c5 'Size25ML' c6 'Size50ML' c7 'Siz100ML' c8 'Siz625ML'.
save 'census5'.
erase c1-c8.
#
read c1-c7;
file 'census6.dat'.
name c1 'Size2S' c2 'Size4S' c3 'Size10S'.
name c4 'Size25S' c5 'Size50S' c6 'Size100S' c7 'Size625S'.
save 'census6'.
erase c1-c7.
#
read c1-c2;
file 'chal.dat'.
name c1 'Temp' c2 'Damaged'.
save 'chal'.
erase c1-c2.
#
read c1-c11;
file 'demand.dat'.
name c1 'YR' c2 'G' c3 'PG' c4 'I'.
name c5 'PNC' c6 'PUC' c7 'PPT' c8 'PD'.
name c9 'PN' c10 'PS' c11 'YRSQ'.
save 'demand'.
erase c1-c11.
#
read c1-c3;
file 'djsp.dat';
format (A11, F8.2, F8.2).
name c1 'Date' c2 'DJI' c3 'SP'.
save 'djsp'.
erase c1-c3.
#
read c1-c4;
file 'elusage.dat'.
name c1 'Month' c2 'Year' c3 'KWH' c4 'Temp'.
save 'elusage'.
erase c1-c4.
#
read c1-c2;
file 'empl.dat'.
name c1 'Year' c2 'Employ'.
save 'empl'.
erase c1-c2.
#
read c1-c12;
file 'ers.dat';
format (A5, I6, I4, I4, I4, I4, I3, I3, I3, I3, I3, I3).
name c1 'Date' c2 'Calls' c3 'FHigh' c4 'FLow'.
name c5 'High' c6 'Low' c7 'Rain' c8 'Snow'.
name c9 'Weekday' c10 'Year' c11 'Sunday' c12 'Subzero'.
save 'ers'.
erase c1-c12.
#
read c1-c7;
file 'foot.dat';
format (A5, A4, I3, I3, I3, I4, I4).
name c1 'FavName' c2 'UndName' c3 'Betting' c4 'Day'.
name c5 'HomeAway' c6 'Week' c7 'Year'.
save 'foot'.
erase c1-c7.
#
read c1-c14;
file 'free.dat';
format (A23, F5.3, F6.3, I3, I3, I4, I4, I5, I5, F6.3, F6.3, I4, I4, I2).
name c1 'Player' c2 'BAFA' c3 'BANext' c4 'HRFA'.
name c5 'HRNext' c6 'RBIFA' c7 'RBINext' c8 'ABFA'.
name c9 'ABNext' c10 'SAFA' c11 'SANext' c12 'RSFA'.
name c13 'RSNext' c14 'Affect'.
save 'free'.
erase c1-c14.
#
read c1-c4;
file 'funds.dat';
format (A22, I1, I8, I5).
name c1 'Fund' c2 'Type' c3 'FiveYR' c4 'Return92'.
save 'funds'.
erase c1-c4.
#
read c1-c3;
file 'geyser1.dat'.
name c1 'Date' c2 'Duration' c3 'Interval'.
save 'geyser1'.
erase c1-c3.
#
read c1 c2 c3;
format (f5.1,i4,i3).
  4.0  71  1
  2.2  57  0
    *  80  1
    *  75  1
    *  55  1
    *  60  0
  4.4  86  1
  4.3  77  1
  2.0  56  0
  4.8  81  1
  1.8  50  0
  5.5  89  1
  1.6  54  0
  4.9  90  1
  4.4  73  1
  1.8  60  0
  4.7  83  1
    *  65  0
  4.8  82  1
  4.2  84  1
  1.9  54  0
  5.0  85  1
    *  58  0
    *  79  1
    *  57  0
    *  88  1
  2.8  68  0
  4.5  76  1
  4.1  78  1
  3.7  74  1
  3.5  85  1
  4.5  75  1
  2.2  65  0
  4.9  76  1
  2.6  58  0
  4.2  91  1
  2.2  50  0
  4.8  87  1
  1.8  48  0
  4.6  93  1
  2.3  54  0
  4.1  86  1
    *  53  0
    *  78  1
    *  52  0
    *  83  1
  1.9  60  0
  4.3  87  1
  2.1  49  0
  4.5  80  1
  2.2  60  0
  4.0  92  1
  1.8  43  0
  4.3  89  1
  2.2  60  0
  4.5  84  1
  3.9  69  1
  3.3  74  1
  3.7  71  1
  4.0 108  1
  1.9  50  0
  5.3  77  1
    *  57  0
    *  80  1
    *  61  0
    *  82  1
    *  48  0
    *  81  1
  3.5  73  1
  2.2  62  0
  4.5  79  1
  2.0  54  0
  4.2  80  1
  4.2  73  1
  4.3  81  1
  1.9  62  0
  4.7  81  1
  3.8  71  1
  4.0  79  1
  4.2  81  1
  4.7  74  1
  1.8  59  0
    *  81  1
    *  66  *
    *  87  1
    *  53  0
  4.5  80  1
  2.1  50  0
  4.3  87  1
  1.9  51  0
  4.7  82  1
  1.7  58  0
  4.4  81  1
  1.8  49  0
  4.6  92  1
  1.9  50  0
  4.5  88  1
  1.6  62  0
  5.0  93  1
  1.8  56  0
  5.1  89  1
  1.6  51  0
  4.3  79  1
    *  58  0
    *  82  1
    *  52  0
  4.5  88  1
  2.0  52  0
    *  78  1
  2.9  69  0
  4.7  75  1
  3.9  77  1
  2.0  53  0
  4.1  80  1
  1.8  55  0
  4.7  87  1
  1.8  53  0
  4.7  85  1
  2.1  61  0
  4.8  93  1
  1.8  54  0
  4.1  76  1
  4.7  80  1
    *  81  1
    *  59  0
    *  86  1
    *  78  1
  4.2  71  1
  4.1  77  1
  3.9  76  1
  3.8  94  1
  4.4  75  1
  2.5  50  0
  4.2  83  1
  3.8  82  1
  4.3  72  1
  3.9  77  1
  4.7  75  1
  1.7  65  0
  5.0  79  1
  4.3  72  1
  4.6  78  1
    *  77  1
    *  79  1
    *  75  1
    *  78  1
  2.0  64  0
  4.6  80  1
  0.8  49  0
  4.9  88  1
  1.7  54  0
  4.6  85  1
  1.7  51  0
  4.8  96  1
  1.8  50  0
  4.5  80  1
  1.9  78  0
  4.5  81  1
  4.5  72  1
  4.0  75  1
  4.8  78  1
    *  87  1
    *  69  1
    *  55  0
    *  83  1
  1.9  49  0
  4.6  82  1
  2.0  57  0
  3.7  84  1
  2.9  57  0
  4.8  84  1
  3.4  73  1
  4.4  78  1
  1.8  57  0
  4.4  79  1
  2.5  57  0
  4.5  90  1
  2.1  62  0
  4.3  87  1
  4.3  78  1
  1.8  52  0
  4.9  98  1
  1.8  48  0
    *  78  1
    *  79  1
    *  65  1
  3.9  84  1
  1.9  50  0
  4.7  83  1
  2.0  60  0
  4.5  80  1
  1.9  50  0
  4.2  88  1
  1.9  50  0
  4.3  84  1
  3.3  74  1
  4.2  76  1
  1.9  65  0
  5.0  89  1
  1.9  49  0
  4.0  88  1
  2.0  51  0
  4.8  78  1
    *  85  1
    *  65  0
    *  75  1
    *  77  1
  2.4  69  0
  4.4  92  1
  4.2  68  1
  4.4  87  1
  2.0  61  0
  4.5  81  1
  1.8  55  0
  4.5  93  1
  1.6  53  0
  4.7  84  1
  2.6  70  0
  3.7  73  1
  4.2  93  1
  1.9  50  0
  4.4  87  1
    *  77  1
    *  74  1
    *  72  1
  4.2  82  1
  4.0  74  1
  4.1  80  1
  1.9  49  0
  4.5  91  1
  2.0  53  0
  4.2  86  1
  1.7  49  0
  4.5  79  1
  4.3  89  1
  4.0  87  1
  4.4  76  1
  2.0  59  0
  4.5  80  1
  4.3  89  1
  1.9  45  0
  4.4  93  1
    *  72  *
    *  71  1
    *  54  0
    *  79  1
  3.3  74  1
  1.8  65  0
  4.6  78  1
  1.8  57  0
  4.6  87  1
  4.6  72  1
  4.5  84  1
  1.9  47  0
  5.0  84  1
  2.0  57  0
  4.3  87  1
  4.2  68  1
  4.5  86  1
  4.4  75  1
  4.6  73  1
    *  53  0
    *  82  1
    *  93  1
  3.9  77  1
    *  54  0
  4.5  96  1
  1.8  48  0
  4.0  89  1
  2.8  63  0
  4.7  84  1
  4.0  76  1
  2.0  62  0
  5.0  83  1
  1.9  50  0
  4.8  85  1
    *  78  1
    *  78  1
    *  81  1
    *  78  1
    *  76  1
    *  74  1
    *  81  1
    *  66  0
    *  84  1
  1.9  48  0
  4.3  93  1
  1.7  47  0
  4.8  87  1
  2.0  51  0
  4.7  78  1
  1.9  54  0
  4.4  87  1
  2.1  52  0
  4.1  85  1
  2.1  58  0
    *  88  1
    *  79  1
end
name c1 'Duration'
name c2 'Interval'         
name c3 'LongShrt'
save 'geyser2'.
read c1-c5;
file 'health.dat';
format (A22, A20, I3, I8, F7.1).
name c1 'State' c2 'Region' c3 'RegNum' c4 'HlthSpnd'.
name c5 'PCTPCI'.
save 'health'.
erase c1-c5.
#
read c1-c4;
file 'hockey1.dat';
format (A25, I5, I5, I5).
name c1 'Team' c2 'Points' c3 'GF' c4 'GA'.
save 'hockey1'.
erase c1-c4.
#
read c1-c5;
file 'hockey2.dat';
format (A25, I5, I5, I5, I6).
name c1 'Team' c2 'Points' c3 'GF' c4 'GA'.
name c5 'Year'.
save 'hockey2'.
erase c1-c5.
#
read c1-c3;
file 'liinc.dat';
format (A24, I7, I8).
name c1 'Communit' c2 'Income79' c3 'Income89'.
save 'liinc'.
erase c1-c3.
#
read c1-c4;
file 'lischool.dat';
format (A25, I4, I6, I6).
name c1 'District' c2 'Legislat' c3 'Enroll' c4 'White'.
save 'lischool'.
erase c1-c4.
#
read c1-c4;
file 'mort.dat';
format (A25, I1, F8.3, F7.2).
name c1 'Lender' c2 'Type' c3 'Rate' c4 'Points'.
save 'mort'.
erase c1-c4.
#
read c1-c10;
file 'nba.dat';
format (A15, I4, I4, I6, I4, F5.1, F5.1, F5.1, F6.1, F6.1).
name c1 'Name' c2 'Height' c3 'Games' c4 'Minutes'.
name c5 'Age' c6 'PPG' c7 'APG' c8 'RPG'.
name c9 'FGP' c10 'FTP'.
save 'nba'.
erase c1-c10.
#
read c1-c2;
file 'nyseotc.dat'.
name c1 'NASDAQRT' c2 'NYSERT'.
save 'nyseotc'.
erase c1-c2.
#
read c1-c3;
file 'pcb.dat';
format (A21, F10.2, F9.2).
name c1 'Bay' c2 'PCB84' c3 'PCB85'.
save 'pcb'.
erase c1-c3.
#
read c1-c5;
file 'ppp.dat';
format (A15, F12.5, F12.5, F12.5, F12.5).
name c1 'Country' c2 'ChngEx75' c3 'ChngEx85' c4 'ChngIn75'.
name c5 'ChngIn85'.
save 'ppp'.
erase c1-c5.
#
read c1-c7;
file 'prdq.dat'.
name c1 'Quality' c2 'Producti' c3 'Japan' c4 'QualNonJ'.
name c5 'QualJapn' c6 'ProdNonJ' c7 'ProdJapn'.
save 'prdq'.
erase c1-c7.
#
read c1-c3;
file 'return.dat'.
name c1 'Year' c2 'SandP' c3 'Vanguard'.
save 'return'.
erase c1-c3.
#
read c1-c9;
file 'rock.dat';
format (A30, I4, I4, I4, I4, I4, I4, I4, I4).
name c1 'Title' c2 'Sales' c3 'SalesLst' c4 'SalesWk'.
name c5 'Play' c6 'PlayLst' c7 'PlayWk' c8 'XPlay'.
name c9 'XSales'.
save 'rock'.
erase c1-c9.
#
read c1-c2;
file 'sex.dat'.
name c1 'Male' c2 'Female'.
save 'sex'.
erase c1-c2.
#
read c1-c19;
file 'subway.dat'.
name c1 'Usage' c2 'ClnStat' c3 'ClnTrain' c4 'SafStat'.
name c5 'SafTrain' c6 'CrwdStat' c7 'CrwdTran' c8 'InfoStat'.
name c9 'InfoTran' c10 'ConvStop' c11 'ConvSced' c12 'Speed'.
name c13 'Frequenc' c14 'TokenPur' c15 'TokenCol' c16 'PolStat'.
name c17 'PolTrain' c18 'Maps' c19 'NumbUse'.
save 'subway'.
erase c1-c19.
#
read c1-c10;
file 'vine1.dat'.
name c1 'Row' c2 'Lug1983' c3 'Lug1984' c4 'Lug1985'.
name c5 'Lug1986' c6 'Lug1987' c7 'Lug1988' c8 'Lug1989'.
name c9 'Lug1990' c10 'Lug1991'.
save 'vine1'.
erase c1-c10.
#
read c1-c3;
file 'vine2.dat'.
name c1 'Year' c2 'Row' c3 'Yield'.
save 'vine2'.
erase c1-c3.
#
read c1-c4;
file 'vine3.dat'.
name c1 'Year' c2 'Lugs' c3 'Yield' c4 'Initial'.
save 'vine3'.
erase c1-c4.
#
read c1-c6;
file 'vote.dat'.
name c1 'Year' c2 'District' c3 'AbsDem' c4 'AbsRep'.
name c5 'MachDem' c6 'MachRep'.
save 'vote'.
erase c1-c6.
#
read c1-c10;
file 'whale.dat'.
name c1 'Period1' c2 'Bouts1' c3 'Nursing1' c4 'Lockons1'.
name c5 'DayNght1' c6 'Period2' c7 'Bouts2' c8 'Nursing2'.
name c9 'Lockons2' c10 'DayNght2'.
save 'whale'.
erase c1-c10.