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MULTIVARIATE CLASSIFICATION TREATMENT OF REFLECTANCE DATA FOR THE NONDESTRUCTIVE ANALYSIS OF HISTORICAL TEXTILESby Amelia SpeedA thesis submitted to the Faculty of the University of Delaware in partial

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What is multivariate classification treatment of?

Multivariate classification treatment is a statistical method used to classify observations or data points into multiple categories based on several variables or features.

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Researchers and data analysts conducting studies that involve multiple dependent variables typically file for multivariate classification treatment, often in fields such as psychology, marketing, and environmental studies.

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To fill out multivariate classification treatment, one must specify the categories or groups, identify the variables of interest, collect data, and apply statistical methods or software to analyze and classify the data accordingly.

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The purpose of multivariate classification treatment is to understand the relationships between multiple variables and to predict or categorize outcomes based on those variables.

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Information that must be reported includes the defined categories, the variables analyzed, the sample data used, the methodology employed for classification, and the results of the classification.

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