按照我之前的问题，并使用相同的示例，我想修改比较中的组。
请记住，我正在使用geomorph运行 PLS 回归。
这个函数需要两个 3D 数组（A1和A2），如上一个链接中的文档所示。
基本上功能是：
two.b.pls(A1, A2, iter = 999)
关键是我有 8 个不同的 3D 矩阵阵列，并且希望针对任何可能的组合运行 PLS 分析。
与我上一个问题的不同之处在于组合的类型。我的数组被命名为Group_1, Group_2... Group_8。我之前想比较Group_1vs.Group_2等，但现在我需要通过组合组来尽可能地比较所有组合，例如Group_1vs. Group_2+Group_3等。我需要的是迭代探索所有可能的组合：
two.b.pls(Group_1, Group_2, iter = 999)
two.b.pls(Group 1, Group 3, iter = 999)
two.b.pls(Group 1, Group 2 + Group 3, iter = 999)
...
two.b.pls(Group_7, Group_8, iter = 999)
对所需组合的小评论
Group_1 vs. Group_2（以及 1 比 1 的所有组合）Group_1 vs. Group_2&Group_3（组合）（以及所有 1 到 2 的组合）Group_1 vs. Group_2&Group_3&Group_4（组合）（以及所有 1 到 3 的组合）- ...
Group_1 vs. Group_2&Group_3&...&Group_8（组合）
另一套：
Group_1&Group_2 vs. Group_3&Group_4（组合）（以及所有 2 乘 2 的组合）。- ...
Group_1&Group_2&Group_3&Group_4 vs. Group_5&Group_6- ...
规格：
Group_1 vs. Group_2&Group_3==Group_2&Group_3 vs. Group_1Group_1 vs. Group_2&Group_3==Group_1 vs. Group_3&Group_2
以 3D 数组为例
请下载此示例。创建Face，Frontal以及具有相同数据集的其他组。这是这个例子的结构num [1:112, 1:3, 1:2]
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