Tried to build ts format seasonal dataset and forecast::Arima() but all errors, somebody take a look?
> Arima(季回归)
Error in solve.default(res$hessian * n.used, A) :
Lapack routine dgesv: system is exactly singular: U[1,1] = 0
> Arima(季回归, order = c(3, 1, 0))
Error in optim(init[mask], armaCSS, method = optim.method, hessian = FALSE, :
initial value in 'vmmin' is not finite
> Arima(季回归, order = c(2, 1, 0))
Error in optim(init[mask], armaCSS, method = optim.method, hessian = FALSE, :
initial value in 'vmmin' is not finite
> Arima(季回归, order = c(2, 0, 0))
Error in stats::arima(x = x, order = order, seasonal = seasonal, include.mean = include.mean, :
non-stationary AR part from CSS
> Arima(季回归, order = c(1, 0, 0))
Error in stats::arima(x = x, order = order, seasonal = seasonal, include.mean = include.mean, :
non-stationary AR part from CSS
> Arima(季回归, order = c(0, 0, 0))
Error in solve.default(res$hessian * n.used, A) :
Lapack routine dgesv: system is exactly singular: U[1,1] = 0
> Arima(季回归, order = c(1, 1, 1))
Error in optim(init[mask], armaCSS, method = optim.method, hessian = FALSE, :
initial value in 'vmmin' is not finite
> Arima(季回归, order = c(0, 1, 1))
Error in optim(init[mask], armaCSS, method = optim.method, hessian = FALSE, :
initial value in 'vmmin' is not finite
> Arima(季回归, order = c(0, 0, 1))
Error in solve.default(res$hessian * n.used, A) :
system is computationally singular: reciprocal condition number = 4.19528e-25
Please provide a reproducible example using only the forecast package. The tk_ts() function is not part of the forecast package. You should use ts() instead.
Tried to build
ts
format seasonal dataset andforecast::Arima()
but all errors, somebody take a look?