stata 岭回归怎么这样 求问

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. rxridge   onlinerate  Fsupervise  stoutput  Interinvest
unrecognized command:  rxridge
r(199);

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关键词：Stata tata 岭回归 unrecognized recognized

请先安装再使用。

1. search rxridge

复制代码

后安装。

黃河泉 发表于 2018-5-12 10:49
请先安装再使用。后安装。

好的 我去试试看

黃河泉 发表于 2018-5-12 10:49
请先安装再使用。后安装。

请问从哪里安装呢

wmy19920825 发表于 2018-5-13 13:02
请问从哪里安装呢

rxridge  onlinerate  Fsupervise  stoutput  Interinvest

RXridge:  Shrinkage Path has Qshape = 0.00
RXridge:  Adjusted response sum-of-squares =       154
RXridge:  OLS Residual Variance = .55142928
RXridge:  Variance of Principal Correlations = .00358071
MCAL =  0.000 ... True  OLS Summed SMSE = .04504483
MCAL =  0.250 ... Estimated Summed SMSE = .05231216
MCAL =  0.500 ... Estimated Summed SMSE =  .0925518
MCAL =  0.750 ... Estimated Summed SMSE = .15851942
MCAL =  1.000 ... Estimated Summed SMSE = .24329541
MCAL =  1.250 ... Estimated Summed SMSE = .34064851
MCAL =  1.500 ... Estimated Summed SMSE = .44532355
MCAL =  1.750 ... Estimated Summed SMSE = .55330653
MCAL =  2.000 ... Estimated Summed SMSE = .66217405
MCAL =  2.250 ... Estimated Summed SMSE = .77224214
MCAL =  2.500 ... Estimated Summed SMSE = .89224589
MCAL =  2.750 ... Estimated Summed SMSE = 1.0146645
MCAL =  3.000 ... Estimated Summed SMSE = 1.1419681

RXridge:  Shrinkage Coefficients...
obs was 0, now 13
(9 missing values generated)
(note: file rxridge1.dta not found)
file rxridge1.dta saved

RXridge:  Scaled MSE Risk Estimates...
obs was 0, now 13
(9 missing values generated)
(note: file rxridge2.dta not found)
file rxridge2.dta saved

RXridge:  Excess Eigenvalue Estimates...
obs was 0, now 13
(9 missing values generated)
(note: file rxridge3.dta not found)
file rxridge3.dta saved

RXridge:  Inferior Direction Cosine Estimates...
obs was 0, now 13
(9 missing values generated)
(note: file rxridge4.dta not found)
file rxridge4.dta saved

RXridge:  Shrinkage DELTA Factors...
obs was 0, now 13
(9 missing values generated)
(note: file rxridge5.dta not found)
file rxridge5.dta saved

RXridge:  Estimated Sigma = .74258285

RXridge:  Uncorrelated Components...                   Number of obs =       0
------------------------------------------------------------------------------
  onlinerate |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          c1 |   .3661296   .0398193     9.19   0.000     .2874548    .4448044
          c2 |  -.3747276   .0827003    -4.53   0.000    -.5381268   -.2113284
          c3 |  -.6170803   .1281176    -4.82   0.000    -.8702149   -.3639457
------------------------------------------------------------------------------

.

黃河泉 发表于 2018-5-12 10:49
请先安装再使用。后安装。

麻烦你看看 我的结果啥意思  看不懂。。。。。

wmy19920825 发表于 2018-5-13 15:01
麻烦你看看 我的结果啥意思  看不懂。。。。。

没用过。

黃河泉 发表于 2018-5-13 15:28
没用过。

恩恩  谢谢你啦

岭回归用来处理什么的呢？

大壹子 发表于 2018-5-14 01:06
岭回归用来处理什么的呢？

多重共线性严重 多个自变量相关性强