How can I assign condition variables to a set of sensor data (multivariate time-series).

Hello everyone,

I'm quite new to machine learning so excuse any poor use of terms.

I'm trying to predict the Remaining Useful Life (RUL) of a simulated turbofan engine from a degredation data set (the data is provided in the NASA website https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#phm08_challenge). The dataset contains a training set, test test, and the vector of true RUL for the test set. My understanding is that i can solve this problem with supervised learning and regression algorithms.The engine is operating normally at the start of each time series, and develops a fault at some point during the series. In the training set, the fault grows in magnitude until system failure. In the test set, the time series ends some time prior to system failure. I have imported the data into MATLAB but I'm struggling to label the response variable. Is there any way I can assign the response variables through the Predictive Maintenance Toolbox? Or any commands that can help to assign the values?

Thank you