R:modeltime::arima_reg和tidymodels rsample::fit_resample的错误消息

R:modeltime::arima_reg和tidymodels rsample::fit_resample的错误消息,r,arima,tidymodels,R,Arima,Tidymodels,我试图将fit_resample()与arima_reg()一起使用,但收到了一条我无法理解的错误消息 我正在使用以下代码: library(modeltime) library(tidymodels) df<-data.frame(day=seq(as.Date("2020-1-1"), as.Date("2020-3-31"), "days"), value=sample(1:100, length(seq(as.Date(

我试图将fit_resample()与arima_reg()一起使用,但收到了一条我无法理解的错误消息

我正在使用以下代码:

library(modeltime)
library(tidymodels)

df<-data.frame(day=seq(as.Date("2020-1-1"), as.Date("2020-3-31"), "days"), value=sample(1:100, length(seq(as.Date("2020-1-1"), as.Date("2020-3-31"), "days"))))

splits<-sliding_window(df, lookback = Inf, skip=6, assess_start = 7, assess_stop = 14, complete = T)

arima_reg() %>% set_engine("auto_arima")%>% fit_resamples(value~day, data=df, resamples=splits)
linear_reg() %>% set_engine("lm")%>% fit_resamples(value~day, data=df, resamples=splits)
arima_reg() %>% set_engine("auto_arima")%>% fit(value~day,data=df)
相同的数据在无需重新采样的情况下使用auto_arima,即:此方法有效:

library(modeltime)
library(tidymodels)

df<-data.frame(day=seq(as.Date("2020-1-1"), as.Date("2020-3-31"), "days"), value=sample(1:100, length(seq(as.Date("2020-1-1"), as.Date("2020-3-31"), "days"))))

splits<-sliding_window(df, lookback = Inf, skip=6, assess_start = 7, assess_stop = 14, complete = T)

arima_reg() %>% set_engine("auto_arima")%>% fit_resamples(value~day, data=df, resamples=splits)
linear_reg() %>% set_engine("lm")%>% fit_resamples(value~day, data=df, resamples=splits)
arima_reg() %>% set_engine("auto_arima")%>% fit(value~day,data=df)
我有什么遗漏吗?