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保存不同变量学生残差的拟合模型通用脚本

我正在尝试创建一个脚本，每次都可以用最少的工作直接进行方差分析和卡方检验。

我启动了脚本：

Names Default To Here(1);
dt=Current Data Table();

dlg = Column Dialog(																	
			name = ColList( "Parameters", Min Col(1) ), 								
			subject = ColList( "Treatment", Min Col(1), MaxCol(1) ),
			Reffect = ColList( "Random", Min Col(0), MaxCol(2) )
			);

// Stop if the user did not press 'OK'		
If( dlg["Button"] != 1, Beep(); Throw());

name = dlg[ "name" ];
subject = dlg["subject"];
Reffect = dlg ["Reffect"];
show (name, subject, Reffect);

dt<<FIT model=""></FIT>

However, there is an issue to do the fit model. The fit model box open only with the Y.

on the Y most of the time I need to add more than 1 variable as well, so I will have more student residuals to save to be able to verify the outliers, then the normal distribuition and the equal variance.

Thanks for your help :)</img>

<LINGO-LABS id="lingo-labs-827663" slang="en-US" mode="CREATE"><LINGO-LABEL>自动化和脚本</LINGO-LABEL></LINGO-LABS>回复：用于保存不同变量学生残差的拟合模型的通用脚本

你好，

尝试调整代码以添加 eval(eval expr(expr)))。 这里有一篇博客文章解释了它的工作原理。此外，列对话框窗口的设置方式允许选择多个 Y。

Eval(Eval Expr(obj=dt<<FIT model=""></FIT>