Hello, I have a time series with sales data of two products A and B. The sales data are reported weekly. I want to forecast next 26 weeks sales data for product A using trend, seasonality and sales of B. So first I forecast next 26 weeks sales of B with only trend and season. Next, I tried to create a data frame with these new 26 values of B, and forecast sales of A. Unfortunately, I am getting the following error:
train.lm.trend.season.pred <- forecast(train.lm.trend.season, h=26,
newdata=future_data) Error in eval(expr, envir, enclos) : object 'solvedFN___1' not found The code used: nFuture <- 26 trainc1.ts <- window(pB.ts) #sales of Product B train.ts <- window(pA.ts) #sales of Product A trainc1.lm.trend.season <- tslm(trainc1.ts ~ trend + season) summary(trainc1.lm.trend.season) trainc1.lm.trend.season.pred <- forecast(trainc1.lm.trend.season, h = nFuture, level = 0) future_data <- data.frame( com1 = trainc1.lm.trend.season.pred$mean ) forecast(fit, newdata=future_data) train.lm.trend.season <- tslm(train.ts ~ trend + season+trainc1.ts) summary(train.lm.trend.season) train.lm.trend.season.pred <- forecast(train.lm.trend.season, h=26, newdata=future_data) It will be great if you can help me. Mayukh