求助各位有关stata岭回归结果的分析，新手，不知道回归出来的结果代表啥意思

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RXridge:  Shrinkage Path has Qshape = 0.00
RXridge:  Adjusted response sum-of-squares =      5417
RXridge:  OLS Residual Variance = .89098362
RXridge:  Variance of Principal Correlations = .00016448
MCAL =  0.000 ... True  OLS Summed SMSE = .00274499
MCAL =  0.250 ... Estimated Summed SMSE = .00263965
MCAL =  0.500 ... Estimated Summed SMSE = .00256662
MCAL =  0.750 ... Estimated Summed SMSE = .00252647
MCAL =  1.000 ... Estimated Summed SMSE = .00251982
MCAL =  1.250 ... Estimated Summed SMSE = .00254733
MCAL =  1.500 ... Estimated Summed SMSE = .00260972
MCAL =  1.750 ... Estimated Summed SMSE = .00270778
MCAL =  2.000 ... Estimated Summed SMSE = .00284231
MCAL =  2.250 ... Estimated Summed SMSE =  .0030142
MCAL =  2.500 ... Estimated Summed SMSE = .00322438
MCAL =  2.750 ... Estimated Summed SMSE = .00347382
MCAL =  3.000 ... Estimated Summed SMSE = .00376358
MCAL =  3.250 ... Estimated Summed SMSE = .00409473
MCAL =  3.500 ... Estimated Summed SMSE = .00446844
MCAL =  3.750 ... Estimated Summed SMSE = .00488592
MCAL =  4.000 ... Estimated Summed SMSE = .00534845
MCAL =  4.250 ... Estimated Summed SMSE = .00585737
MCAL =  4.500 ... Estimated Summed SMSE = .00641521
MCAL =  4.750 ... Estimated Summed SMSE = .00703178
MCAL =  5.000 ... Estimated Summed SMSE = .00770207
MCAL =  5.250 ... Estimated Summed SMSE = .00842811
MCAL =  5.500 ... Estimated Summed SMSE = .00921201
MCAL =  5.750 ... Estimated Summed SMSE = .01005604
MCAL =  6.000 ... Estimated Summed SMSE = .01096255
MCAL =  6.250 ... Estimated Summed SMSE = .01193407
MCAL =  6.500 ... Estimated Summed SMSE = .01297324
MCAL =  6.750 ... Estimated Summed SMSE = .01408286
MCAL =  7.000 ... Estimated Summed SMSE =  .0152659
MCAL =  7.250 ... Estimated Summed SMSE = .01652549
MCAL =  7.500 ... Estimated Summed SMSE = .01786496
MCAL =  7.750 ... Estimated Summed SMSE = .01928782
MCAL =  8.000 ... Estimated Summed SMSE = .02079971
MCAL =  8.250 ... Estimated Summed SMSE = .02240531
MCAL =  8.500 ... Estimated Summed SMSE = .02410702
MCAL =  8.750 ... Estimated Summed SMSE = .02590937
MCAL =  9.000 ... Estimated Summed SMSE =  .0278172
MCAL =  9.250 ... Estimated Summed SMSE = .02983566
MCAL =  9.500 ... Estimated Summed SMSE = .03197023
MCAL =  9.750 ... Estimated Summed SMSE = .03422673
MCAL = 10.000 ... Estimated Summed SMSE = .03661137
MCAL = 10.250 ... Estimated Summed SMSE = .03913078
MCAL = 10.500 ... Estimated Summed SMSE = .04179201
MCAL = 10.750 ... Estimated Summed SMSE = .04460261
MCAL = 11.000 ... Estimated Summed SMSE = .04757061
MCAL = 11.250 ... Estimated Summed SMSE =  .0507046
MCAL = 11.500 ... Estimated Summed SMSE = .05401375
MCAL = 11.750 ... Estimated Summed SMSE = .05750787
MCAL = 12.000 ... Estimated Summed SMSE = .06119743
MCAL = 12.250 ... Estimated Summed SMSE = .06509361
MCAL = 12.500 ... Estimated Summed SMSE = .06920841
MCAL = 12.750 ... Estimated Summed SMSE =  .0735546
MCAL = 13.000 ... Estimated Summed SMSE = .07814589

RXridge:  Shrinkage Coefficients...
obs was 0, now 53
(39 missing values generated)
file rxridge1.dta saved

RXridge:  Scaled MSE Risk Estimates...
obs was 0, now 53
(39 missing values generated)
file rxridge2.dta saved

RXridge:  Excess Eigenvalue Estimates...
obs was 0, now 53
(39 missing values generated)
file rxridge3.dta saved

RXridge:  Inferior Direction Cosine Estimates...
obs was 0, now 53
(39 missing values generated)
file rxridge4.dta saved

RXridge:  Shrinkage DELTA Factors...
obs was 0, now 53
(39 missing values generated)
file rxridge5.dta saved

RXridge:  Estimated Sigma = .94391929

RXridge:  Uncorrelated Components...                   Number of obs =       0
------------------------------------------------------------------------------
  yiyufenshu |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          c1 |   .1915205   .0090745    21.11   0.000     .1737308    .2093101
          c2 |   .0502685   .0108105     4.65   0.000     .0290755    .0714615
          c3 |  -.0779735   .0113584    -6.86   0.000    -.1002405   -.0557065
          c4 |   .1017803   .0120122     8.47   0.000     .0782316     .125329
          c5 |   .0990298   .0126642     7.82   0.000     .0742028    .1238568
          c6 |  -.0448719    .013237    -3.39   0.001    -.0708217   -.0189222
          c7 |   .0147196   .0136071     1.08   0.279    -.0119557    .0413949
          c8 |   .0258535   .0136664     1.89   0.059    -.0009381    .0526452
          c9 |  -.0261919   .0140939    -1.86   0.063    -.0538217    .0014379
         c10 |  -.0278833   .0144945    -1.92   0.054    -.0562985    .0005318
         c11 |  -.0152836   .0148484    -1.03   0.303    -.0443925    .0138253
         c12 |  -.0009981   .0156773    -0.06   0.949    -.0317319    .0297356
         c13 |   .0405729   .0197666     2.05   0.040     .0018223    .0793235

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关键词：Stata 回归结果 tata 不知道 岭回归

请问你现在弄明白了没啊？

心已四夕2010 发表于 2017-8-8 17:01
请问你现在弄明白了没啊？

没，，，

请问岭回归的命令是什么呀，需要下载插件吗，谢谢，找了很久都没找到

smx1004 发表于 2019-4-11 14:06
请问岭回归的命令是什么呀，需要下载插件吗，谢谢，找了很久都没找到

findit rxridge 安装命令
xtset city year 识别面板年份、地区变量
rxridge y x 岭回归
但是我不大会分析岭回归结果，层主有经验的话咱连一起交流分享下好吗？我QQ：1228320536

楼主这个解读你会了吗，我也遇到这个问题了

这个结果哪位会解读，请不吝赐教啊！也遇到类似的问题，求帮助！

zhengqingchun 发表于 2020-9-3 10:52
这个结果哪位会解读，请不吝赐教啊！也遇到类似的问题，求帮助！

您好! 我是刚准备做岭回归的小白！
想请教您关于实现岭回归的步骤！TAT 赶集不尽！！

我也不知道啊

同求助，尤其是自动生成的图看不懂