问题描述
我正在对小组成员进行各种购买的数据运行选择模型。我正在评估购买某种产品的发生率，其中产品具有价格（连续变量）和属性（分类变量）。
我想看看价格和属性如何影响发生率。不幸的是，我一直得到这个结果，其中所有属性都被省略，只有价格产生一个系数（cmmixlogit 是 Stata 中可用的选择函数）。所以我的问题是：为什么省略了属性？
cmmixlogit choice i.bottle_or_can i.light_or_regular i.category_type i.size price promotionactivity
note: 7.lightfin omitted because of collinearity
note: 7.categnewfin omitted because of collinearity
note: 7.ozsizefin omitted because of collinearity
note: 1.bottlefin omitted because of collinearity
note: 7.bottlefin omitted because of collinearity
note: 1.lightfin omitted because of collinearity
note: 2.categnewfin omitted because of collinearity
note: 3.categnewfin omitted because of collinearity
note: 4.categnewfin omitted because of collinearity
note: 5.categnewfin omitted because of collinearity
note: 2.ozsizefin omitted because of collinearity
note: 3.ozsizefin omitted because of collinearity
note: 4.ozsizefin omitted because of collinearity
note: 5.ozsizefin omitted because of collinearity
Fitting fixed parameter model:
Fitting full model:
Iteration 0: log likelihood = -5405.0639
Iteration 1: log likelihood = -5405.0639
Mixed logit choice model Number of obs = 393,228
Case ID variable: newid Number of cases = 14,564
Alternatives variable: assortchoice Alts per case: min = 27
avg = 27.0
max = 27
Integration points: 0 Wald chi2(2) = 6449.21
Log likelihood = -5405.0639 Prob > chi2 = 0.0000
-------------------------------------------------------------------------------
choice | Coef. Std. Err. z P>|z| [95% Conf. Interval]
--------------+----------------------------------------------------------------
assortchoice |
bottlefin |
1 | 0 (omitted)
7 | 0 (omitted)
|
lightfin |
1 | 0 (omitted)
7 | 0 (omitted)
|
categnewfin |
2 | 0 (omitted)
3 | 0 (omitted)
4 | 0 (omitted)
5 | 0 (omitted)
7 | 0 (omitted)
|
ozsizefin |
2 | 0 (omitted)
3 | 0 (omitted)
4 | 0 (omitted)
5 | 0 (omitted)
7 | 0 (omitted)
|
finaldollunit | -2.801092 .0348798 -80.31 0.000 -2.869455 -2.732729
finalprfd | 7.079639 451.1571 0.02 0.987 -877.172 891.3312
--------------+----------------------------------------------------------------
1 |
_cons | -50.89198 .6643 -76.61 0.000 -52.19398 -49.58998
--------------+----------------------------------------------------------------
2 |
_cons | -34.86058 .4456098 -78.23 0.000 -35.73396 -33.9872
--------------+----------------------------------------------------------------
3 |
_cons | -9.583438 .1948851 -49.17 0.000 -9.965406 -9.201471
--------------+----------------------------------------------------------------
4 |
_cons | -53.07984 .6622894 -80.15 0.000 -54.37791 -51.78178
--------------+----------------------------------------------------------------
5 |
_cons | -36.48366 .5232283 -69.73 0.000 -37.50917 -35.45816
--------------+----------------------------------------------------------------
这里是数据结构：
解决方法
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