'PRINCIPAL COMPONENT REGRESSION' model for soil property prediction from spectroscopic/reflectance data??
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I have soil reflectance values and particular soil properties of different samples. I wanted to build a 'PRINCIPAL COMPONENT REGRESSION' model to predict soil properties from reflectance data. Can anyone help me in coding the same?Do I need to divide the dataset into calibration and validation sets??
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