下子不知该如何着手．指数回归 ( Exponential Regression )、乘方回归 ( Power Regression )、 二次回归 ( Quadratic Regression )．自己不知那一种回更准确．希望大家提议见．如果有做好的原代码更好．先谢了！
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The power regression equations were obtained using the biomass data of leaves, stems, twigs, flowers, cones, and barks, respectively.
根据叶、枝、干、花果和皮的生物量数据 ，分别获得了幂回归方程。
It was found that the relations between the weight of stomach, intestines, pancreas and body weight are positive correlation and correlation coefficient of power regression is highest.
结果表明：消化道的重量随体重同步变化，回归分析表明二者的幂回归相关系数最高。
When and how to use power, logorithmic, and other transformations to linearize the data so that simple linear regression can be used to model the data
何时以及如何使用幂、对数和其它转换来对数据进行线性化，以便用简单线性回归来对该数据建模
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