r - 由数据框中的列名引起的 arima xreg 参数错误

标签 r time-series forecast

我正在尝试运行下面的代码，但收到以下错误。该代码使用预测包中的 auto.arima 来确定 arima 模型并将其拟合到某些数据。它还在 xreg 参数中使用回归量。我认为 xreg 中的两列名称可能是问题所在，但我不确定为什么。列的名称类似于“struct.c.NA..NA..211L..”，它们是函数的输出。如果我在 xreg 参数中没有这些列的情况下运行 auto.arima ，它似乎做得很好。非常感谢任何有关如何解决此问题的提示。

代码:

auto.arima(df2_comb[1:100,names(df2_comb)=='ECDD'], xreg = df2_comb[,names(df2_comb)!='ECDD'][1:100,names(df2_comb[,!names(df2_comb)%in%c('ECDD','order_dts')])])

错误:

Error in auto.arima(df2_comb[1:100, names(df2_comb) == "ECDD"], xreg = df2_comb[,  : 
  xreg should be a numeric matrix or vector

数据:

dput(df2_comb[1:100,])
structure(list(ECDD = c(319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 
319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 
319.4, 319.4, 319.4, 319.4, 198, 142, 254, 178, 97, 113, 116, 
109, 127, 102, 99, 107, 109, 89, 101, 106, 319.4, 319.4, 319.4, 
319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 257, 169, 191, 115, 
121, 121, 108, 110, 105, 93, 103, 93, 107, 99, 113, 319.4, 319.4, 
319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 237, 
106, 108, 108, 117, 99, 105, 108, 100, 93, 88, 105, 95, 109, 
319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 192, 
169, 319.4, 136, 108, 163, 136, 114, 116), order_dts = c("2017-12-31 09:00:00", 
"2017-12-31 10:00:00", "2017-12-31 11:00:00", "2017-12-31 12:00:00", 
"2017-12-31 13:00:00", "2017-12-31 14:00:00", "2017-12-31 15:00:00", 
"2017-12-31 16:00:00", "2017-12-31 17:00:00", "2017-12-31 18:00:00", 
"2017-12-31 19:00:00", "2017-12-31 20:00:00", "2017-12-31 21:00:00", 
"2017-12-31 22:00:00", "2017-12-31 23:00:00", "2018-01-01 00:00:00", 
"2018-01-01 01:00:00", "2018-01-01 02:00:00", "2018-01-01 03:00:00", 
"2018-01-01 04:00:00", "2018-01-01 05:00:00", "2018-01-01 06:00:00", 
"2018-01-01 07:00:00", "2018-01-01 08:00:00", "2018-01-01 09:00:00", 
"2018-01-01 10:00:00", "2018-01-01 11:00:00", "2018-01-01 12:00:00", 
"2018-01-01 13:00:00", "2018-01-01 14:00:00", "2018-01-01 15:00:00", 
"2018-01-01 16:00:00", "2018-01-01 17:00:00", "2018-01-01 18:00:00", 
"2018-01-01 19:00:00", "2018-01-01 20:00:00", "2018-01-01 21:00:00", 
"2018-01-01 22:00:00", "2018-01-01 23:00:00", "2018-01-02 00:00:00", 
"2018-01-02 01:00:00", "2018-01-02 02:00:00", "2018-01-02 03:00:00", 
"2018-01-02 04:00:00", "2018-01-02 05:00:00", "2018-01-02 06:00:00", 
"2018-01-02 07:00:00", "2018-01-02 08:00:00", "2018-01-02 09:00:00", 
"2018-01-02 10:00:00", "2018-01-02 11:00:00", "2018-01-02 12:00:00", 
"2018-01-02 13:00:00", "2018-01-02 14:00:00", "2018-01-02 15:00:00", 
"2018-01-02 16:00:00", "2018-01-02 17:00:00", "2018-01-02 18:00:00", 
"2018-01-02 19:00:00", "2018-01-02 20:00:00", "2018-01-02 21:00:00", 
"2018-01-02 22:00:00", "2018-01-02 23:00:00", "2018-01-03 00:00:00", 
"2018-01-03 01:00:00", "2018-01-03 02:00:00", "2018-01-03 03:00:00", 
"2018-01-03 04:00:00", "2018-01-03 05:00:00", "2018-01-03 06:00:00", 
"2018-01-03 07:00:00", "2018-01-03 08:00:00", "2018-01-03 09:00:00", 
"2018-01-03 10:00:00", "2018-01-03 11:00:00", "2018-01-03 12:00:00", 
"2018-01-03 13:00:00", "2018-01-03 14:00:00", "2018-01-03 15:00:00", 
"2018-01-03 16:00:00", "2018-01-03 17:00:00", "2018-01-03 18:00:00", 
"2018-01-03 19:00:00", "2018-01-03 20:00:00", "2018-01-03 21:00:00", 
"2018-01-03 22:00:00", "2018-01-03 23:00:00", "2018-01-04 00:00:00", 
"2018-01-04 01:00:00", "2018-01-04 02:00:00", "2018-01-04 03:00:00", 
"2018-01-04 04:00:00", "2018-01-04 05:00:00", "2018-01-04 06:00:00", 
"2018-01-04 07:00:00", "2018-01-04 08:00:00", "2018-01-04 09:00:00", 
"2018-01-04 10:00:00", "2018-01-04 11:00:00", "2018-01-04 12:00:00"
), structure.c.NA..NA..211L..211L..211L..211L..211L..211L..211L.. = c(0, 
0, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 
211, 211, 211, 211, 211, 211, 211, 131, 94, 168, 117, 64, 75, 
77, 72, 84, 67, 65, 71, 72, 59, 67, 70, 211, 211, 211, 211, 211, 
211, 211, 211, 211, 170, 112, 126, 76, 80, 80, 71, 73, 69, 61, 
68, 61, 71, 65, 75, 211, 211, 211, 211, 211, 211, 211, 211, 211, 
211, 156, 70, 71, 71, 77, 65, 69, 71, 66, 61, 58, 69, 63, 72, 
211, 211, 211, 211, 211, 211, 211, 211, 127, 112, 211, 90, 71, 
108, 90), structure.c.NA..NA..NA..NA..48L..48L..48L..48L..48L..48L..48L.. = c(0, 
0, 0, 0, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 
48, 48, 48, 48, 48, 48, 30, 21, 38, 27, 15, 17, 17, 16, 19, 15, 
15, 16, 16, 13, 15, 16, 48, 48, 48, 48, 48, 48, 48, 48, 48, 39, 
25, 29, 17, 18, 18, 16, 16, 16, 14, 15, 14, 16, 15, 17, 48, 48, 
48, 48, 48, 48, 48, 48, 48, 48, 36, 16, 16, 16, 18, 15, 16, 16, 
15, 14, 13, 16, 14, 16, 48, 48, 48, 48, 48, 48, 48, 48, 29, 25, 
48, 20, 16), S1 = c(1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 
0, 0), S2 = c(0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0
), S3 = c(0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0), 
    S4 = c(0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 1), S5 = c(0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S6 = c(0, 0, 0, 
    0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0), S7 = c(0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0), S8 = c(0, 0, 0, 0, 0, 0, 0, 1, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S9 = c(0, 
    0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0), S10 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S11 = c(0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0), S12 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0), S13 = c(0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S14 = c(0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0), S15 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S16 = c(0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0), S17 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0), S18 = c(0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S19 = c(0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 
    0, 0, 0, 0), S20 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0), S21 = c(0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
    0), S22 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 1, 0, 0, 0, 0, 0, 0), S23 = c(0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0)), row.names = c(NA, 
100L), class = "data.frame")

最佳答案 

library(forecast)
## it works
auto.arima(df2_comb[1:100,names(df2_comb)=='ECDD'], xreg = as.matrix(df2_comb[,names(df2_comb)!='ECDD'][1:100,names(df2_comb[,!names(df2_comb)%in%c('ECDD','order_dts')])]))
## it fails
colnames(df2_comb)[3]<- "structure_211"
colnames(df2_comb)[4]<- "structure_48"
auto.arima(df2_comb[1:100,names(df2_comb)=='ECDD'], xreg = df2_comb[,names(df2_comb)!='ECDD'][1:100,names(df2_comb[,!names(df2_comb)%in%c('ECDD','order_dts')])])

它与名称无关，正如您所看到的，如果您更改它们，也会以同样的方式失败。 但是如果你使用 xreg as.matrix 应该可以解决问题!

关于r - 由数据框中的列名引起的 arima xreg 参数错误，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/55228092/

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