fa.parallel(phi_matrix,n.obs=25000,fa = 'both', fm='ml', n.iter = 100) In smc, smcs > 1 were set to 1.0 In smc, smcs < 0 were set to .0 In smc, smcs > 1 were set to 1.0 In smc, smcs < 0 were set to .0 Error in optim(start, FAfn, FAgr, method = "L-BFGS-B", lower = 0.005, : L-BFGS-B needs finite values of 'fn' In addition: Warning message: In log(e) : NaNs produced

这个错误提示表明在运行因子分析时发生了问题。

首先，关于警告信息`In smc, smcs > 1 were set to 1.0` 和 `In smc, smcs < 0 were set to .0`，这是因为在计算样本相关矩阵时，相关系数超过了1或小于0。为了确保模型的有效性，这些超出范围的相关系数被截断到0和1之间。

然而，主要的错误信息是`Error in optim(start, FAfn, FAgr, method = "L-BFGS-B", lower = 0.005, : L-BFGS-B needs finite values of 'fn'`和`Warning message: In log(e) : NaNs produced`。这表明在使用优化算法进行因子分析时出现了问题，可能是因为目标函数的结果包含了无穷大或NaN（不是一个数字）。

这些错误可能是由于数据中存在缺失值、变量之间的共线性、或者模型设置不当等原因导致的。建议您检查数据是否完整且没有缺失值，并尝试排除共线性问题。您还可以尝试调整模型设置，如修改优化算法、增加迭代次数等。

如果问题仍然存在，请提供更多关于数据和代码的细节，以便更深入地帮助您解决问题。