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MaxDiff 分析
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联合分析模拟 √ √
单因素方差分析-单因素回归 √ √
条件罗吉特机率模型 √ √
XLSTAT BASIC
Explore, visualize and model your data in one interface.
User defined: A variable indicates the frequency of each observation within the output sample.
Training and test sets: Data are split into two parts – a training set and a test set. The rows of each set are randomly drawn from the initial dataset. The size of the training set is defined by a number of rows.
Training and test sets (%): Data are split into two parts – a training set and a test set. The rows of each set are randomly drawn from the initial dataset. The size of the training set is defined by a row number percentage from the initial data set.
Go futher with XLSTAT Basic+ which includes Machine Learning and more modeling techniques.
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