자! 이제 오만가지 경마 변수를 전부 터치하여 추출, 요약, 분석 예측 계량화 하여 완료하였다면
어케 된 것인지 살펴 보자
단 경고 숫자 짜증나시지 않는 분만 보시고 다른 분들은 머리 쥐나기 전에 기냥 넘어가시길...
이번이 세번째의 시도가 된 셈인데
첫번째가 2003년 코리아레이스에서 현존하는 최고의 환수율 약90%을 자랑하지만 결국 지는 프로그램...
두번째가 2006년 네오크XX에서 시도하여 드뎌 이기는 환수율 100%를 넘어섰으나 실용성 지속성 문제로...
이번 세번째는 2010년 3월 드뎌 15년 각고의 세월을 대미 장식하듯 환수율 100%를 훨씬 넘는 이기는
예측 툴로 개발 완료!
아래는 SPSS 통계패키지로
2003년 울나라 디지털 전산화 이후 현재까지 모든 경주결과 최신 자료를 대상으로
상관분석, 회귀분석, 판별분석, 분산분석, TREND 시계열분석
분포변형기술(등분포표준화서열법 개량보삽법 등)분석 등 통계 계량화 분석기법을 사용하였음
*---------------------------------------------------------------------------------------------------.
Page 96 *** 상관분석(능력인덱스값) *** 3/4/10
Correlations: RK OF RCN FSN R_S R_T M_L PR P_R
RK 1.0000 .5883 .6238 .6533 .5761 .5909 -.2736 -.6998 -.6978
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= . P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= .000
OF .5883 1.0000 .3897 .4232 .4261 .5196 -.3983 -.5513 -.5543
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= .000 P= . P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= .000
RCN .6238 .3897 1.0000 .8675 .9325 .6012 -.1979 -.7916 -.8121
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= .000 P= .000 P= . P= .000 P= .000 P= .000 P= .000 P= .000 P= .000
FSN .6533 .4232 .8675 1.0000 .8161 .5942 -.2201 -.8726 -.8706
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= .000 P= .000 P= .000 P= . P= .000 P= .000 P= .000 P= .000 P= .000
R_S .5761 .4261 .9325 .8161 1.0000 .6331 -.1999 -.7560 -.7821
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= .000 P= .000 P= .000 P= .000 P= . P= .000 P= .000 P= .000 P= .000
R_T .5909 .5196 .6012 .5942 .6331 1.0000 -.2258 -.7363 -.7528
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= .000 P= .000 P= .000 P= .000 P= .000 P= . P= .000 P= .000 P= .000
M_L -.2736 -.3983 -.1979 -.2201 -.1999 -.2258 1.0000 .4542 .4437
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= . P= .000 P= .000
PR -.6998 -.5513 -.7916 -.8726 -.7560 -.7363 .4542 1.0000 .9607
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= . P= .000
P_R -.6978 -.5543 -.8121 -.8706 -.7821 -.7528 .4437 .9607 1.0000
(35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114) (35114)
P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= .000 P= .
RK 경주마 최종 착순
OF 경주마 인기도(단승배당률 크기 역순위)
RCN 계량화 백분율 표준화 서열지수(전체를 100마리가 뛰었다는 가정에서의 등수)
FSN 거리별 다른 것을 공통기록(초반3화롱+후반4화롱)으로 바꿔 환산한 계량화 백분율 표준화 서열지수
R_S RCN 예측 지수값
R_T 착차에 관한 계량화 백분율 표준화 서열지수
M_L 기수능력에 관한 계량화 백분율 표준화 서열지수
PR 순수 기록값 판별확률
P_R 환경요인을 적용한 판별확률
상관분석을 읽는 방법은
이미 빈도에 따른 유의수준은 통과했고
상관지수가 절대값 1에 가까울 수록 관계가 많음을 의미(여기서 음수는 부호 반비례관계)
-------------------------------
판별분석
범주형변수에 관한 회귀분석
Symbol Group Label
------ ----- --------------------
1 1 WIN
2 2 LOSE
Histogram for Group 1 WIN
Canonical Discriminant Function 1
80 ? ?
? ?
? ?
F ? ?
r 60 ? ?
e ? ?
q ? ?
u ? 1 1 1 ?
e 40 ? 11111 ?
n ? 11111 ?
c ? 111111 ?
y ? 1111111 ?
20 ? 11111111 ?
? 111111111 ?
? 1111111111 ?
? 1111111111111 ?
X컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴훉
Out -6.0 -4.0 -2.0 .0 2.0 4.0 6.0 Out
Class 111111111111111111111111111111111111111222222222222222222222222222222222222222222
Centroids 1
Histogram for Group 2 LOSE
Canonical Discriminant Function 1
160 ? ?
? ?
? ?
F ? ?
r 120 ? ?
e ? ?
q ? 2 22 ?
u ? 2 22222 ?
e 80 ? 222222222 ?
n ? 22222222222 ?
c ? 222222222222 ?
y ? 222222222222 ?
40 ? 2222222222222222 ?
? 22222222222222222 ?
? 222222222222222222222 2 ?
? 2222222222222222222222222222 ?
X컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴훉
Out -6.0 -4.0 -2.0 .0 2.0 4.0 6.0 Out
Class 111111111111111111111111111111111111111222222222222222222222222222222222222222222
Centroids 2
All-groups stacked Histogram
Canonical Discriminant Function 1
160 ? ?
? ?
? ?
F ? 2 ?
r 120 ? 2 ?
e ? 222 2 ?
q ? 222 222 ?
u ? 222222222 ?
e 80 ? 222222222222 ?
n ? 22222222222222 ?
c ? 2222222222222222 ?
y ? 1212122222222222 ?
40 ? 1111122222222222222 ?
? 1111111222222222222 ?
? 11111111222222222222222 2 ?
? 11111111111222222222222222222 ?
X컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴컵컴컴컴컴훉
Out -6.0 -4.0 -2.0 .0 2.0 4.0 6.0 Out
Class 111111111111111111111111111111111111111222222222222222222222222222222222222222222
Centroids 1 2
Classification Function Coefficients
(Fisher's Linear Discriminant Functions)
XR = 1 2
WIN LOSE
R_T .1817875 .2377626
R_S -.4110392E-01 -.5689488E-01
FSN -.1117221E-01 .3631603E-01
M_L .8187208E-01 .6612748E-01
(constant) -5.906199 -8.166422
Canonical Discriminant Functions
Percent of Cumulative Canonical : After
Function Eigenvalue Variance Percent Correlation : Function Wilks' Lambda Chi-squared D.F. Significance
: 0 .7235008 545.68 4 .0000
1* .38217 100.00 100.00 .5258319 :
-----> 판별식
Classification Results -
No. of Predicted Group Membership
Actual Group Cases 1 2
-------------------- ------ -------- --------
Group 1 334 309 25
WIN 92.5% 7.5%
Group 2 1356 370 986
LOSE 27.3% 72.7%
Percent of "grouped" cases correctly classified: 76.63%
Classification Processing Summary
1690 Cases were processed.
2위내 입상한다고 봤을 때 실제 적중률 92.5% 실패 7.5%
2위내 입상실패 한다고 봤을 때 실제 적중률 72,7% 실패 27.3%
신뢰도 76.73%
회귀분석
Page 73 REGRESSION(회귀분석)에 의한 확률값 예측 2/26/10
* * * * M U L T I P L E R E G R E S S I O N * * * *
Listwise Deletion of Missing Data
Mean Std Dev Label
RCN 55.925 32.986
RCM 49.268 27.037
RCX 28.808 29.296
RPM 47.757 28.862
RPX 33.656 30.939
N of Cases = 423
Correlation:
RCN RCM RCX RPM RPX
RCN 1.000 .818 .693 .738 .651
RCM .818 1.000 .887 .949 .870
RCX .693 .887 1.000 .852 .921
RPM .738 .949 .852 1.000 .916
RPX .651 .870 .921 .916 1.000
-----------------------------------------------------------------------------------------------------------------------------------
Page 74 REGRESSION(회귀분석)에 의한 확률값 예측 2/26/10
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. RCN
Block Number 1. Method: Stepwise Criteria PIN .0500 POUT .1000
Variable(s) Entered on Step Number 1.. RCM
Multiple R .81850 Analysis of Variance
R Square .66994 DF Sum of Squares Mean Square
Adjusted R Square .66915 Regression 1 307612.16313 307612.16313
Standard Error 18.97328 Residual 421 151553.81620 359.98531
F = 854.51310 Signif F = .0000
------------------ Variables in the Equation ------------------ ------------- Variables not in the Equation -------------
Variable B SE B Beta T Sig T Variable Beta In Partial Min Toler T Sig T
RCM .998572 .034160 .818497 29.232 .0000 RCX -.155793 -.125020 .212551 -2.582 .0101
(Constant) 6.727601 1.919254 3.505 .0005 RPM -.390492 -.214730 .099807 -4.506 .0000
RPX -.250743 -.215553 .243922 -4.524 .0000
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Variable(s) Entered on Step Number 2.. RPX
Multiple R .82781 Analysis of Variance
R Square .68527 DF Sum of Squares Mean Square
Adjusted R Square .68377 Regression 2 314653.85119 157326.92559
Standard Error 18.54930 Residual 420 144512.12815 344.07650
F = 457.24404 Signif F = .0000
------------------ Variables in the Equation ------------------ ------------- Variables not in the Equation -------------
Variable B SE B Beta T Sig T Variable Beta In Partial Min Toler T Sig T
RCM 1.264568 .067621 1.036524 18.701 .0000 RCX .035888 .022257 .121057 .456 .6488
RPX -.267334 .059094 -.250743 -4.524 .0000 RPM -.245247 -.112140 .065804 -2.310 .0214
(Constant) 2.619909 2.084518 1.257 .2095
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Variable(s) Entered on Step Number 3.. RPM
Multiple R .83020 Analysis of Variance
R Square .68923 DF Sum of Squares Mean Square
Adjusted R Square .68701 Regression 3 316471.15920 105490.38640
Standard Error 18.45428 Residual 419 142694.82014 340.56043
F = 309.75527 Signif F = .0000
------------------ Variables in the Equation ------------------ ------------- Variables not in the Equation -------------
Variable B SE B Beta T Sig T Variable Beta In Partial Min Toler T Sig T
RCM 1.451311 .105171 1.189592 13.800 .0000 RCX -.078430 -.041915 .048248 -.858 .3915
RPX -.169708 .072405 -.159176 -2.344 .0196
RPM -.280287 .121335 -.245247 -2.310 .0214
(Constant) 3.519470 2.110085 1.668 .0961
End Block Number 1 PIN = .050 Limits reached.
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Residuals Statistics:
Min Max Mean Std Dev N
*PRED 4.1789 103.0503 55.9253 27.3849 423
*RESID -69.3189 68.7615 .0000 18.3886 423
*ZPRED -1.8896 1.7208 .0000 1.0000 423
*ZRESID -3.7562 3.7260 .0000 .9964 423
Total Cases = 549
Durbin-Watson Test = 1.94270
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Outliers - Standardized Residual
Case # *ZRESID
400 -3.75625
484 3.72605
301 -3.42669
367 -3.37891
445 3.06802
366 -2.97052
140 -2.91998
427 -2.91245
232 -2.75111
230 -2.64926
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Histogram - Standardized Residual
N Exp N (* = 1 Cases, . : = Normal Curve)
2 .46 Out **
0 .24 3.00
0 .34 2.88
0 .48 2.75
0 .68 2.63 .
1 .93 2.50 :
0 1.26 2.38 .
3 1.68 2.25 *:*
0 2.21 2.13 .
3 2.86 2.00 **:
3 3.64 1.88 ***.
5 4.57 1.75 ****:
2 5.64 1.63 ** .
7 6.85 1.50 ******:
9 8.20 1.38 *******:*
7 9.66 1.25 ******* .
13 11.20 1.13 **********:**
16 12.79 1.00 ************:***
16 14.38 .88 *************:**
18 15.92 .75 ***************:**
10 17.34 .63 ********** .
18 18.61 .50 ******************.
15 19.65 .38 *************** .
22 20.43 .25 *******************:**
23 20.92 .13 ********************:**
25 21.08 .00 ********************:****
26 20.92 -.13 ********************:*****
39 20.43 -.25 *******************:*******************
22 19.65 -.38 *******************:**
14 18.61 -.50 ************** .
14 17.34 -.63 ************** .
19 15.92 -.75 ***************:***
9 14.38 -.88 ********* .
11 12.79 -1.00 *********** .
6 11.20 -1.13 ****** .
7 9.66 -1.25 ******* .
9 8.20 -1.38 *******:*
6 6.85 -1.50 ******.
7 5.64 -1.63 *****:*
2 4.57 -1.75 ** .
2 3.64 -1.88 ** .
1 2.86 -2.00 * .
0 2.21 -2.13 .
2 1.68 -2.25 *:
1 1.26 -2.38 :
0 .93 -2.50 .
1 .68 -2.63 :
1 .48 -2.75 *
2 .34 -2.88 **
1 .24 -3.00 *
3 .46 Out ***
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Normal Probability (P-P) Plot
Standardized Residual
1.0 탠컴컴컴컴컴컴컴컴컴탠컴컴컴컴컴컴컴컴컴탠컴컴컴컴컴컴컴컴컴탠컴컴컴컴컴컴컴컴?*
? ** ?
? *** ?
? *. ?
? *** ?
? *. ?
? ** ?
? ** ?
? ** ?
? ** ?
.75 ? ** ?
? *** ?
? *. ?
? *** ?
? ***. ?
? ** . ?
? * . ?
O ? **. ?
b ? **. ?
s ? *. ?
e .5 ? ** ?
r ? ** ?
v ? ** ?
e ? * ?
d ? . ?
? . * ?
? . ** ?
? . ** ?
? . * ?
? . ** ?
.25 ? . **** ?
? . ** ?
? . * ?
? . *** ?
? .*** ?
? .** ?
? *** ?
? ** ?
? ** ?
?** ?
탠컴컴컴컴컴컴컴컴컴탠컴컴컴컴컴컴컴컴컴탠컴컴컴컴컴컴컴컴컴탠컴컴컴컴컴컴컴컴컴?Expected
.25 .5 .75 1.0
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Standardized Scatterplot
Across - *ZPRED Down - *ZRESID
Out 탤컴컴컵 . 컴탠컴컴탠컴컴탠컴컴탠컴컴탤
3 ? . ? Symbols:
? ?
? . . ? Max N
2 ? . . . . ?
? . ..... . ? . 3.0
? . .. .....:.. ? : 6.0
1 ? ....:.....:*:. ? * 15.0
? ...:..:........... ?
? .... . ..: ..***. ?
0 ? ..:...... . ... ...**: ?
? *:.*:...........:. .** ?
? ...:.... ...... .... ?
? ? ..:.:. .. . .. .. ?
? .:..:. ... ?
? .. . ..... .. ?
? ? . . . ?
? . . . ?
? . ?
? ? .. . ?
Out 탤컴컴컵컴컴컵컴컴컵?. . 컴컴컵컴컴컵?
? ? ? 0 1 2 3 Out
실효성있는 회귀식 도출
------------------ Variables in the Equation ------------------ ------------- Variables not in the Equation -------------
Variable B SE B Beta T Sig T Variable Beta In Partial Min Toler T Sig T
RCM 1.451311 .105171 1.189592 13.800 .0000 RCX -.078430 -.041915 .048248 -.858 .3915
RPX -.169708 .072405 -.159176 -2.344 .0196
RPM -.280287 .121335 -.245247 -2.310 .0214
(Constant) 3.519470 2.110085 1.668 .0961
End Block Number 1 PIN = .050 Limits reached.
위는 70여가지 경주 패턴중에서
특정패턴 특정거리에 해당하는 경우임
참고로
이렇게 도출된 회귀식은 아래와 같이 사용됨
TITLE ' *** 판별분석 기초자료생성(기준기록회귀분석) ***'.
GET /FILE 'HR_E.SYS'.
@ 'REG.HE1.INC'.
@ 'REG.HE2.INC'.
*** R_S -> 기록 RCN FROM 'REG.HE1.INC' ***.
COMPUTE R_S = 0.
IF (ST=10) R_S = (.617849*RCM)+(22.262538).
IF (ST=11) R_S = (.975945*RCM)+(1.998865).
IF (ST=12) R_S = (.980753*RP1)+(1.692425).
IF (ST=13) R_S = (.955474*RP1)+(3.393641).
IF (ST=14) R_S = (.966155*RP1)+(2.654217).
IF (ST=15) R_S = (.992993*RP1)+(.787251).
IF (ST=16) R_S = (.917969*RP1)+(5.585275).
IF (ST=20) R_S = (.404058*RCX)+(54.876974).
IF (ST=21) R_S = (.956739*RCX)+(3.892214).
IF (ST=22) R_S = (.977906*RP2)+(1.959386).
IF (ST=23) R_S = (.945090*RP2)+(.039601*MR2)+(1.683652).
IF (ST=24) R_S = (.977426*RP2)+(1.697788).
IF (ST=25) R_S = (.982594*RP2)+(1.377542).
IF (ST=26) R_S = (.887755*RP2)+(.051017*RCX)+(6.653494).
IF (ST=30) R_S = (.488748*RPM)+(38.364222).
IF (ST=31) R_S = (1.682021*RCM)+(-.437228*RPM)+(-.184635*RPX)+(-3.693749).
IF (ST=32) R_S = (.964775*RP3)+(2.782145).
IF (ST=33) R_S = (.977960*RP3)+(1.603889).
IF (ST=34) R_S = (.979483*RP3)+(1.671955).
IF (ST=35) R_S = (.952924*RP3)+(3.710821).
IF (ST=36) R_S = (.954634*RP3)+(3.310283).
--- 중략 ---
IF (ST=70) R_S = (.672000*RCM)+(40.423447).
IF (ST=71) R_S = (1.294112*RCM)+(-.359469*RCX)+(6.173356).
IF (ST=72) R_S = (.958155*RP7)+(2.977769).
IF (ST=73) R_S = (.919517*RP7)+(.054829*MR7)+(2.287913).
IF (ST=74) R_S = (.961025*RP7)+(2.515876).
IF (ST=75) R_S = (.939522*RP7)+(.035763*RPM)+(2.447957).
IF (ST=76) R_S = (.913040*RP7)+(.263506*RCM)+(-.174057*MR7)+(.158050).
IF (ST=80) R_S = (.616893*RCM)+(43.979499).
IF (ST=81) R_S = (1.165487*RCM)+(-.240601*RCX)+(9.810652).
IF (ST=82) R_S = (.969839*RP8)+(1.522628).
IF (ST=83) R_S = (.905643*RP8)+(.084209*MR8)+(1.128110).
IF (ST=84) R_S = (.922182*RP8)+(.049912*RCM)+(2.608262).
IF (ST=85) R_S = (.863976*RP8)+(8.982312).
IF (ST=86) R_S = (.927836*RP8)+(5.605451).
IF (ST=90) R_S = (.426998*RCM)+(61.367598).
IF (ST=91) R_S = (.654036*RCM)+(.560191*RPM)+(-.424065*RPX)+(19.059850).
IF (ST=92) R_S = (.955071*RP9)+(3.268580).
IF (ST=93) R_S = (.955368*RP9)+(2.632298).
IF (ST=94) R_S = (.938713*RP9)+(4.431086).
IF (ST=95) R_S = (.849591*RP9)+(10.752939).
IF (ST=96) R_S = (.752321*RP9)+(10.336853).
COMPUTE R_S = RND (R_S*100) /100.
IF (R_S>99.4) R_S = 99.4.
IF (R_S< 0) R_S = 0.4.
FORM R_S(F5.2).
SAVE /OUT 'HR_E.SYS'.
*** R_T -> 기록 RCN FROM 'REG.HE2.INC' ***.
GET /FILE 'HR_E.SYS'.
COMPUTE R_T = 0.
IF (ST=10) R_T = (-1.556790*TDM)+(60.070535).
IF (ST=11) R_T = (14.458220*TDM)+(29.114859).
IF (ST=12) R_T = (27.740339*TD1)+(-10.711948*TPM)+(19.047068).
IF (ST=13) R_T = (18.111704*TD1)+(9.377573).
IF (ST=14) R_T = (18.558937*TD1)+(6.457751).
IF (ST=15) R_T = (37.191334*TDM)+(-9.778364*TD2)+(-8.211811*TPM)+(9.702905).
IF (ST=16) R_T = (14.165266*TD1)+(3.656272*TPM)+(7.609443).
IF (ST=20) R_T = (9.025766*TDM)+(54.970593).
IF (ST=21) R_T = (15.217673*TD2)+(27.016709).
IF (ST=22) R_T = (47.877053*TD2)+(-30.019937*TDM)+(15.873777).
IF (ST=23) R_T = (13.010995*TD2)+(9.550133*TDM)+(-2.824788*TPM)+(10.680119).
IF (ST=24) R_T = (12.943517*TD2)+(5.463203*TPM)+(10.747339).
IF (ST=25) R_T = (11.029616*TD2)+(6.026114*TDM)+(24.673851).
IF (ST=26) R_T = (9.737981*TD2)+(9.003034*TDM)+(17.146724).
IF (ST=30) R_T = (11.516012*TDM)+(46.011663).
IF (ST=31) R_T = (9.466963*TD3)+(9.240382*TDM)+(20.207151).
IF (ST=32) R_T = (17.384668*TD3)+(18.683242).
IF (ST=33) R_T = (12.834947*TD3)+(6.595485*TDM)+(16.699539).
IF (ST=34) R_T = (9.327534*TD3)+(10.803887*TPM)+(16.993390).
IF (ST=35) R_T = (11.083761*TD3)+(9.014112*TDM)+(16.781288).
IF (ST=36) R_T = (9.273941*TD3)+(10.666622*TDM)+(10.856394).
--- 중략 ---
IF (ST=90) R_T = (15.346400*TPM)+(65.190097).
IF (ST=91) R_T = (7.741487*TD9)+(14.916657*TDM)+(28.664996).
IF (ST=92) R_T = (7.857356*TD9)+(11.946272*TDM)+(27.402003).
IF (ST=93) R_T = (14.918831*TD9)+(29.549382).
IF (ST=94) R_T = (13.816729*TD9)+(4.674417*TDM)+(23.078325).
IF (ST=95) R_T = (8.485111*TD9)+(14.558789*TDM)+(28.858063).
IF (ST=96) R_T = (16.120677*TD9)+(14.087756).
IF (SYSMIS(R_T)) R_T = ((14.458220*TDM)+(29.114859))*0.9.
COMPUTE R_T= RND (R_T*100) /100.
IF (R_T>99.4) R_T= 99.4.
IF (R_T< 0) R_T= 0.4.
FORM R_T(F5.2).
SAVE /OUT 'HR_E.SYS'.
*RK NO OF W WC TK
RM KQN KQ KXN KX KSN KS KSD KRN KR KR1 KR2 K_L
ASS AQN AQ AXN AX ASN AS ASD ARN AR AR1 AR2 AGN AG
MA AMN AM KHN KH KAN KA JO
KC KE KG KTN KT1 KT2 KLT KL1 KL2 K1N K1 K2N K2 K3N K3
RCM GCM CCM RCX GCX CCX RPM GPM CPM RPX CPX GPX RSD R30 C20 G20 NK1 NK2 NK3
TDM RKM OFM RFM TPM KPM FPM RFP RWM RWX NOM NOX NX1 NX2 NX3 RGX WVX WX NVX
MR1 RX1 RP1 GM1 CM1 TD1 GN1
GAP GAPP A B C D SF GF G3F S1F G1F C1S C2S C3S C4S DSFT
NO1 NO2 NO3 OF1 OF2 OF3 RM1 RM2 RM3 ASS1 ASS2 ASS3
RC1 RC2 RC3 C1 C2 C3 D1 D2 D3 G3F1 G3F2 G3F3 C3S1 C3S2 C3S3
RF NK SFF RC_ G3F_ SFF_ HN AN TN GN CN KN TD TDQ WD ND FD PD WW WL TP
RCN GCN CCN TDN RH RI FK WV RDV GX RX FSR
G_L G_D W_D N_D H_L H_K H_P M_L ML ST
FSN R_S R_T PR.
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