The `sklearn.cross_decomposition.PLSRegression.predict` function in Python's scikit-learn library is used to predict the output values for a given set of input data using Partial Least Squares (PLS) regression. It takes in a matrix of input data and returns the predicted output values based on the trained PLS regression model.
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