原数据不便贴出，先给出代码

> sem1<-'
+ mb=~mbc+mbn
+ soil=~soc+tn
+ climate=~map+mat
+ '
> fit<-cfa(sem1,estimator="MLR",data=grad)
Error in solve.default(E) :
  system is computationally singular: reciprocal condition number = 3.27078e-22
In addition: Warning messages:
1: In lav_data_full(data = data, group = group, group.label = group.label,  :
  lavaan WARNING: some observed variances are (at least) a factor 1000 times larger than others; use varTable(fit) to investigate
2: In estimateVCOV(lavaanModel, samplestats = lavaanSampleStats, options = lavaanOptions,  :
  lavaan WARNING: could not compute standard errors!

另，google组里也有人问这事，但是跟我的情况不太一样

还有，结构方程计算前需要如何处理数据？