idv调节中介模型的第一阶段
其他结果都有，只是模型拟合部分报错，这是为什么呢?
THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE
     TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NON-POSITIVE DEFINITE
     FIRST-ORDER DERIVATIVE PRODUCT MATRIX.  THIS MAY BE DUE TO THE STARTING
     VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION.  THE
     CONDITION NUMBER IS      -0.432D-18.  PROBLEM INVOLVING THE FOLLOWING PARAMETER:
     Parameter 9, %BETWEEN%: S ON IDV (equality/label)

     THE NONIDENTIFICATION IS MOST LIKELY DUE TO HAVING MORE PARAMETERS THAN THE
     NUMBER OF CLUSTERS. REDUCE THE NUMBER OF PARAMETERS.

THE MODEL ESTIMATION TERMINATED NORMALLY

MODEL FIT INFORMATION

Number of Free Parameters                       18

Loglikelihood

          H0 Value                     -275978.380
          H0 Scaling Correction Factor      9.7323
            for MLR

Information Criteria

          Akaike (AIC)                  551992.761
          Bayesian (BIC)                552151.884
          Sample-Size Adjusted BIC      552094.679
            (n* = (n + 2) / 24)