i need help with calculating forecasts in r. Im using target stock TGT.csv. thank you

the GBTC Example Currently, the program uses the Greyscale Bitcoin Fund (GBTC) prices from October 5, 2020 to April 1, 2021. The data are daily and you can specify the horizon in the program. Input: A time series data Output: The root mean square (forecast) errors for (1) the random walk model, (2) the random walk with drift model, (3) the exponential smoothing model and (4) the Hyndman-Khandakar algorithm. R Package Required Last week, you have installed the "forecast" package. In addition to that package, you would need to install package called "Metrics". Recall that you can use the command install packages() for that purpose. > install packages("forecast") > inattal packages("Metrics") Assignment You are required to find a daily series of the price of a stock. It should have at least 6 months of data, including the most recent ones. Edit the Week 14 Program 1.r and run it (several times) to complete the follow table for root mean square errors of each model and horizon. Horizon Random Walk Random Walk with Drift Exponential Smoothing Hyndmand- Khandakar 1-day 5-day 10-day 20-day Submission the GBTC Example Currently, the program uses the Greyscale Bitcoin Fund (GBTC) prices from October 5, 2020 to April 1, 2021. The data are daily and you can specify the horizon in the program. Input: A time series data Output: The root mean square (forecast) errors for (1) the random walk model, (2) the random walk with drift model, (3) the exponential smoothing model and (4) the Hyndman-Khandakar algorithm. R Package Required Last week, you have installed the "forecast" package. In addition to that package, you would need to install package called "Metrics". Recall that you can use the command install packages() for that purpose. > install packages("forecast") > inattal packages("Metrics") Assignment You are required to find a daily series of the price of a stock. It should have at least 6 months of data, including the most recent ones. Edit the Week 14 Program 1.r and run it (several times) to complete the follow table for root mean square errors of each model and horizon. Horizon Random Walk Random Walk with Drift Exponential Smoothing Hyndmand- Khandakar 1-day 5-day 10-day 20-day Submission