stata选取部分时间段数据进行逐步回归，谢谢解答~

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需用20160503之前的数据vol22为被解释变量， vol521 vol523为解释变量进行逐步回归，20160503之后的数据不希望被删除，留着预测用。我试了下普通回归 if date<20160503就可以，但逐步回归如何实现？谢谢解答！

1. * Example generated by -dataex-. To install: ssc install dataex
   
2. clear
   
3. input long date float(vol22 vol521 vol523)
   
4. 20160120 .042001 .040001 .052762
   
5. 20160121 .042361 .040546  .05171
   
6. 20160122 .042831 .041018 .052348
   
7. 20160125 .043075 .040987 .052219
   
8. 20160126 .045355  .04393 .054015
   
9. 20160127  .04533 .043249 .054025
   
10. 20160128 .045038 .043402 .053117
    
11. 20160129 .046677 .045224 .054604
    
12. 20160201 .043027 .041555 .051332
    
13. 20160202 .044789 .042478 .052174
    
14. 20160203 .045382 .041769 .052429
    
15. 20160204 .042003 .037084 .053741
    
16. 20160205 .041809 .035707 .053778
    
17. 20160215 .035961 .032972 .049272
    
18. 20160216 .042238  .03393 .049991
    
19. 20160217 .047243 .033682 .048544
    
20. 20160218 .051368 .033006 .047452
    
21. 20160229 .055622 .038532 .046319
    
22. 20160301 .052652 .034868 .041848
    
23. 20160302 .052281 .036251 .043102
    
24. 20160303 .051993 .035134 .042516
    
25. 20160304 .055213  .03444 .043451
    
26. 20160307 .056045  .03916  .04271
    
27. 20160308 .058854 .040403 .042293
    
28. 20160309 .061177 .043146  .04253
    
29. 20160310 .061037  .04356 .035234
    
30. 20160311 .061494 .043343 .035063
    
31. 20160314 .063055 .043801 .037406
    
32. 20160315 .059859 .043934 .035804
    
33. 20160316 .056229 .044268 .035867
    
34. 20160317 .051618 .044659  .03655
    
35. 20160318 .052466 .044631 .037694
    
36. 20160321 .052813 .044572 .037951
    
37. 20160322 .052454  .04513 .037762
    
38. 20160323 .052408 .045382 .036889
    
39. 20160331 .043505  .03761 .027175
    
40. 20160401 .037377 .037194 .024011
    
41. 20160405 .034572     .03  .02981
    
42. 20160406 .031845 .027106 .030137
    
43. 20160407  .02941 .023832 .029087
    
44. 20160408 .029335  .02347  .02896
    
45. 20160411 .028991 .023977 .029422
    
46. 20160412 .024011  .02307 .027202
    
47. 20160413 .024352 .022991 .026741
    
48. 20160414 .022763 .022344 .026237
    
49. 20160415 .021754  .02168 .026237
    
50. 20160418 .020897 .020972 .026281
    
51. 20160419 .020582 .021193 .025974
    
52. 20160420 .024134 .020905 .027509
    
53. 20160428 .021752 .018638   .0257
    
54. 20160429 .021645 .019036  .02567
    
55. 20160503 .021753 .021092 .026025
    
56. 20160504 .020768 .021226 .018179
    
57. 20160505 .020776 .021333  .01786
    
58. 20160506 .021457 .023038 .021728
    
59. 20160509 .023691 .022929 .025453
    
60. 20160510 .023489 .022625 .023398
    
61. 20160511 .023592 .022364 .023338
    
62. 20160512 .022574 .022013  .02297
    
63. 20160513 .022535 .023217 .021487
    
64. 20160516 .024062 .023353 .022412
    
65. 20160517 .022834 .023479 .022137
    
66. 20160518 .021849 .024542 .022868
    
67. 20160523  .01837 .022962 .021595
    
68. 20160524 .018638 .022843 .021574
    
69. 20160525 .018554 .022187 .021873
    
70. 20160526  .01867 .022083 .021864
    
71. 20160527 .019712 .022398 .021827
    
72. 20160530  .02013 .021895 .021654
    
73. 20160531 .021244 .020424 .023009
    
74. 20160601 .021194 .020669 .023071
    
75. 20160602 .021283 .020339 .023115
    
76. 20160603 .019552 .018408 .019924
    
77. 20160606 .016246 .019708 .014412
    
78. 20160607 .016161 .019448 .014496
    
79. 20160608 .015871 .019617  .01448
    
80. 20160613 .018193 .022067 .018535
    
81. 20160614 .018186  .02075 .018491
    
82. 20160615 .017023 .022015 .018353
    
83. 20160616 .017004 .021799 .018627
    
84. 20160617 .017051 .018945 .017261
    
85. 20160620 .017214 .019068  .01729
    
86. 20160621 .017234 .019539 .017556
    
87. 20160622 .018346 .020085   .0175
    
88. 20160623  .01803  .02008 .017543
    
89. 20160624 .018538 .020253 .017999
    
90. 20160627 .018886 .020767 .018215
    
91. 20160628 .019224 .020652 .018782
    
92. 20160629 .018684 .020473 .021272
    
93. 20160630 .016968  .01952 .019909
    
94. 20160701  .01705 .019743 .019906
    
95. 20160704  .01714 .020312 .020294
    
96. 20160705 .018329 .020305 .020335
    
97. 20160706 .018423  .01893 .020089
    
98. 20160707  .01813 .018946 .020221
    
99. 20160708 .025208 .018733 .020246
    
100. 20160711 .023358 .014629 .015586
     
101. 20160712  .02377 .014963  .01561
     
102. 20160713 .023699 .013525 .015438
     
103. 20160714 .023962 .013632 .014812
     
104. end

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看逐步回归命令sw

qiangli 发表于 2018-7-14 08:05
看逐步回归命令sw

sw会用，但是我只用部分数据，另一部分数据还不删，应该怎么办？谢谢。

普通回归可以
逐步回归也可以

蓝色 发表于 2018-7-14 08:36
普通回归可以
逐步回归也可以

您好，如果想用部分数据做逐步回归，应该怎么做？谢谢！

你不是说普通回归你会
逐步就看sw命令

蓝色 发表于 2018-7-14 08:40
你不是说普通回归你会
逐步就看sw命令

但是  部分数据怎么选呢？我主要是这个问题。。

蓝色 发表于 2018-7-14 08:40
你不是说普通回归你会
逐步就看sw命令

谢谢，我明白了。

https://bbs.pinggu.org/thread-10748398-1-1.html 逐步回归相关问题可以看一下这篇文章。