Okay, for a basic linear regression model in MATLAB, you can use the following code:

% Import the dataset data = readtable('your_data_file.csv');

% Split the data into training and testing sets train_data = data(1:80,:); test_data = data(81:end,:);

% Define the predictor and response variables X_train = train_data(:,1:end-1); Y_train = train_data(:,end);

X_test = test_data(:,1:end-1); Y_test = test_data(:,end);

% Train the linear regression model mdl = fitlm(X_train,Y_train);

% Predict the values for the test set Y_pred = predict(mdl,X_test);

% Calculate the root mean squared error (RMSE) rmse = sqrt(mean((Y_test-Y_pred).^2));

This is just a basic example, and you may need to modify it based on your specific dataset and requirements. Let me know if you need any further assistance.

chatHello! How can I assist you todayMATLAB线路货量预测模型代码Sure I can help you with that Do you have a specific dataset or problem statement that you want to use for the model Also which type of model do yo

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