我认为问题出在滞后:您在时间上移动值，因此当您在所有菜单上调用 cbind 时，时间序列，最后得到的数据超出了 cmort 和R抱怨的最终日期.(尝试 cbind(趋势，温度，temp2，部分，partL4)，您可以清楚地看到正在发生的事情).如果在调用 sarima 之前从 partL4 中删除了这些值，则它应该起作用:

I believe the problem comes from the lag: you're shifting the values in time, so when you call cbind on all the time series, you're end up with data that extends beyond the final date for cmort and R complains. (Try cbind(trend, temp, temp2, part, partL4) and you can see clearly what is happening). If you drop those values from partL4 before you call sarima it should work:

partL4_new <- window(partL4, end = 1979.750)
sarima(cmort, 2,0,0, xreg=cbind(trend, temp, temp2, part, partL4_new))