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Random stratified (2): Rows are chosen at random within N strata defined by the user. In each stratum, the number of sampled observations is proportional to the relative frequency of the stratum.
多种解决方案
广泛的解决方案，各种现场特定的解决方案。
In addition to the features of Basic, Basic+ provides machine learning methods (association rules, random forests, k-nearest neighbors, and more). You can also run advanced models such as partial least squares regression, nonlinear regression, or mixed models.
Systematic from random start: From the j'th observation in the initial table, an observation is extracted every k observations to be used in the sample. j is chosen at random from among a number of possibilities depending on the size of the initial table and the size of the final sample. k is determined such that the observations extracted are as spaced out as possible
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