lmHmat(subselect)
lmHmat()所属R语言包：subselect
Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis
道达尔和效果偏差矩阵的线性回归分析及典型相关分析
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes total an effect matrices of Sums of Squares and Cross-Product (SSCP) deviations, divided by a normalizing constant, in linear regression or canonical correlation analysis. These matrices may be used as input to the variable selection search routines anneal, genetic improve or eleaps.
计算总的效果矩阵和的平方和跨产品（SSCP）的偏差，除以归一化常数，线性回归或典型相关分析。这些矩阵可作为输入变量选择搜索程序anneal，geneticimprove或eleaps。
用法----------Usage----------
## Default S3 method:[默认方法]
lmHmat(x,y,...)
## S3 method for class 'data.frame'
lmHmat(x,y,...)
## S3 method for class 'formula'[类formula的方法]
lmHmat(formula,data=NULL,...)
## S3 method for class 'lm'
lmHmat(fitdlmmodel,...)
参数----------Arguments----------
参数：x
A matrix or data frame containing the variables for which the SSCP matrix is to be computed.
含有SSCP的矩阵的变量是要计算的矩阵或数据框。
参数：y
A matrix or data frame containing the set of fixed variables, the association of x is to be measured with.
矩阵或数据框包含一套固定变量，x是该协会进行测量。
参数：formula
A formula of the form 'y ~ x1 + x2 + ...'. That is, the response is the set of fixed variables and the right hand side specifies the variables whose subsets are to be compared.
公式的形式'y ~ x1 + x2 + ...'。也就是说，响应是一套固定变量和右手侧的指定的变量的子集以进行比较。
参数：data
Data frame from which variables specified in 'formula' are preferentially to be taken.
数据框从“公式”中指定的变量应采取优先。
参数：fitdlmmodel
An object of class lm, as produced by R's lm function.
类的一个对象lm，R的lm功能。
参数：...
further arguments for the method.
该方法的进一步的论据。
Details
详细信息----------Details----------
Let x and y be two different groups of linearly independent variables observed on the same set of data units. It is well known that the association between x and y can be measured by their squared canonical correlations which may be found as the positive eigenvalues of certain matrix products. In particular, if T_x and H_{x/y} denote SSCP matrices of deviations from the mean, respectively for the original x variables (T_x) and for their orthogonal projections onto the space spanned by the y's (H_{x/y}), then the positive eigenvalues of T_x^{-1}H_{x/y} equal the squared correlations between x and y. Alternatively these correlations could also be found from T_y^{-1} H_{y/x} but here, assuming a goal of comparing x's subsets for a given fixed set of y's, we will focus on the former product. lmHmat computes a scaled version of T_x and H_{x/y} such that T_x is converted into a covariance matrix. These matrices can be used as input to the search routines anneal, genetic improve and eleaps that try to select x subsets based on several functions of their squared correlations with y. We note that when there is only one variable in the y set, this is equivalent to selecting predictors for linear regression based on the traditional
让x和y是线性独立的变量上观察到的相同的一组数据单元的两个不同的组。这是众所周知的，可以测量由若干矩阵产品作为正的特征值的典型相关平方可找到x和y之间的关联。特别是，如果T_x和H_{x/y}表示SSCP矩阵偏差的平均值，分别为原始x变量（T_x）和他们的由y的空间上的正交投影（ H_{x/y}），然后T_x^{-1}H_{x/y}等于平方的x和y之间的相关性的正的特征值。另外，这些相关性可能也被发现从T_y^{-1} H_{y/x}“但在这里，假设对于一个给定的一组固定y的x的子集进行比较的目标，我们将重点放在前者的产品。 lmHmat计算T_x和H_{x/y}使得T_x被转换成的协方差矩阵的缩放版本。这些矩阵可以被用作输入到搜索例程anneal，geneticimprove和eleaps尝试选择x的子集的基础上与y的平方相关的几个功能。我们注意到，当在y集只有一个变量，这相当于选择基于传统的线性回归预测
值----------Value----------
A list with four items:
四个项目列表：
参数：mat
The total SSCP matrix divided by nrow(x)-1
总SSCP矩阵除以NROW（X）-1
参数：H
The effect SSCP matrix divided by nrow(x)-1
SSCP矩阵除以NROW（X）-1的影响
参数：r
The expected rank of the H matrix which, under the assumption of linear independence, equals the minimum between the number of variables in the x and y sets. The true rank of H can be different from r if the linear independence condition fails.
预期的排名的H矩阵的线性独立的假设下，中的x和y的集的变量之间的数量等于最小。真正的H级不同r的线性无关条件，如果失败的。
参数：call
The function call which generated the output.
产生的输出的函数调用。
参见----------See Also----------
anneal, genetic,
anneal，genetic，
实例----------Examples----------
##------------------------------------------------------------------[＃------------------------------------------------- -----------------]
## 1) An example of subset selection in the context of Multiple[＃1）的上下文中的多个子集的选择的一个例子]
## Linear Regression. Variable 5 (average price) in the Cars93 MASS[＃线性回归。在Cars93质量变量5（平均价格）]
## library is to be regressed on 13 other variables. The goal is to[＃库是其他13个变量回归。我们的目标是]
## compare subsets of these 13 variables according to their ability[＃比较这13个变量的子集，根据自己的能力]
## to predict car prices. [＃预测车企。]
library(MASS)
data(Cars93)
CarsHmat1 <- lmHmat(Cars93[c(7:8,12:15,17:22,25)],Cars93[5])
CarsHmat1
##$mat[＃$垫]
## MPG.city MPG.highway EngineSize Horsepower[的＃MPG.city MPG.highway EngineSize马力]
##MPG.city 31.582281 28.283427 -4.1391655 -1.979799e+02[＃MPG.city 31.582281 28.283427 -4.1391655-1.979799e +02]
##MPG.highway 28.283427 28.427302 -3.4667602 -1.728655e+02[＃MPG.highway 28.283427 28.427302 -3.4667602-1.728655e +02]
##EngineSize -4.139165 -3.466760 1.0761220 3.977700e+01[＃EngineSize -4.139165 -3.466760 1.0761220 3.977700e +01]
##Horsepower -197.979897 -172.865475 39.7769986 2.743079e+03[＃马力-197.979897 -172.865475 39.7769986 2.743079e +03]
##RPM 1217.478962 997.335203 -339.1637447 1.146634e+03[＃RPM 1217.478962 997.335203 -339.1637447 1.146634e +03]
##Rev.per.mile 1941.631019 1555.243104 -424.4118163 -1.561070e+04[＃Rev.per.mile 1941.631019 1555.243104 -424.4118163-1.561070e +04]
##Fuel.tank.capacity -14.985799 -13.743654 2.5830820 1.222536e+02[＃Fuel.tank.capacity -14.985799 -13.743654 2.5830820 1.222536e +02]
##Passengers -2.433964 -2.583567 0.4017181 5.040907e-01[＃乘客-2.433964 -2.583567 0.4017181 5.040907e-01]
##Length -54.673329 -42.267765 11.8197055 4.212964e+02[＃长度-54.673329 -42.267765 11.8197055 4.212964e +02]
##Wheelbase -25.567087 -22.375760 5.1819425 1.738928e+02[＃轴距-25.567087，-22.375760 5.1819425 1.738928e +02]
##Width -15.302127 -12.902291 3.3992286 1.275437e+02[＃宽度-15.302127 -12.902291 3.3992286 1.275437e +02]
##Turn.circle -12.071061 -10.202782 2.6029453 9.474252e+01[＃Turn.circle -12.071061 -10.202782 2.6029453 9.474252e +01]
##Weight -2795.094670 -2549.654628 517.1327139 2.282550e+04[＃重量-2795.094670 -2549.654628 517.1327139 2.282550e +04]
## RPM Rev.per.mile Fuel.tank.capacity Passengers[＃RPM Rev.per.mile的Fuel.tank.capacity系列乘客]
##MPG.city 1217.4790 1941.6310 -14.985799 -2.4339645[＃MPG.city 1217.4790 1941.6310 -14.985799 -2.4339645]
##MPG.highway 997.3352 1555.2431 -13.743654 -2.5835671[＃MPG.highway 997.3352 1555 0.2431 -13.743654 -2.5835671]
##EngineSize -339.1637 -424.4118 2.583082 0.4017181[＃EngineSize -339.1637 -424.4118 2.583082 0.4017181]
##Horsepower 1146.6339 -15610.7036 122.253612 0.5040907[＃马力1146.6339 -15610.7036 122.253612 0.5040907]
##RPM 356088.7097 146589.3233 -652.324684 -289.6213184[＃RPM 356088.7097 146589.3233 -652.324684 -289.6213184]
##Rev.per.mile 146589.3233 246518.7295 -992.747020 -172.8003740[＃Rev.per.mile 146589.3233 246518.7295 -992.747020 -172.8003740]
##Fuel.tank.capacity -652.3247 -992.7470 10.754271 1.6085203[＃Fuel.tank.capacity -652.3247 -992.7470 10.754271 1.6085203]
##Passengers -289.6213 -172.8004 1.608520 1.0794764[＃乘客-289.6213 -172.8004 1.608520 1.0794764]
##Length -3844.9158 -5004.3139 33.063850 7.3626695[＃长度-3844.9158 -5004.3139 33.063850 7.3626695]
##Wheelbase -1903.7693 -2156.2932 16.944811 4.9177186[＃轴距-1903.7693 -2156.2932 16.944811 4.9177186]
##Width -1217.0933 -1464.3712 9.898282 1.9237962[＃宽度-1217.0933 -1464.3712 9.898282 1.9237962]
##Turn.circle -972.5806 -1173.3281 7.096283 1.5037401[＃Turn.circle -972.5806 -1173.3281 7.096283 1.5037401]
##Weight -150636.1325 -215349.6757 1729.468268 339.0953717[＃重量-150636.1325 -215349.6757 1729.468268 339.0953717]
## Length Wheelbase Width Turn.circle[＃长度轴距宽Turn.circle的]
##MPG.city -54.67333 -25.567087 -15.302127 -12.071061[＃MPG.city -54.67333 -25.567087 -15.302127 -12.071061]
##MPG.highway -42.26777 -22.375760 -12.902291 -10.202782[＃MPG.highway -42.26777 -22.375760 -12.902291 -10.202782]
##EngineSize 11.81971 5.181942 3.399229 2.602945[＃EngineSize 11.81971 5.181942 3.399229 2.602945]
##Horsepower 421.29640 173.892824 127.543712 94.742520[＃马力421.29640 173.892824 127.543712 94.742520]
##RPM -3844.91585 -1903.769285 -1217.093268 -972.580645[＃RPM -3844.91585 -1903.769285 -1217.093268 -972.580645]
##Rev.per.mile -5004.31393 -2156.293245 -1464.371201 -1173.328074[＃Rev.per.mile -5004.31393 -2156.293245 -1464.371201 -1173.328074]
##Fuel.tank.capacity 33.06385 16.944811 9.898282 7.096283[＃Fuel.tank.capacity 33.06385 16.944811 9.898282 7.096283]
##Passengers 7.36267 4.917719 1.923796 1.503740[＃乘客7.36267 4.917719 1.923796 1.503740]
##Length 213.22955 82.021973 45.367929 34.780622[＃长度213.22955 82.021973 45.367929 34.780622]
##Wheelbase 82.02197 46.507948 20.803062 15.899836[＃轴距82.02197 46.507948 20.803062 15.899836]
##Width 45.36793 20.803062 14.280739 9.962015[＃宽度45.36793 20.803062 14.280739 9.962015]
##Turn.circle 34.78062 15.899836 9.962015 10.389434[＃Turn.circle 34.78062 15.899836 9.962015 10.389434]
##Weight 6945.16129 3507.549088 1950.471599 1479.365358[＃重量6945.16129 3507.549088 1950.471599 1479.365358]
## Weight[＃重量]
##MPG.city -2795.0947[＃MPG.city -2795.0947]
##MPG.highway -2549.6546[＃MPG.highway -2549.6546]
##EngineSize 517.1327[＃EngineSize 517.1327]
##Horsepower 22825.5049[＃马力22825.5049]
##RPM -150636.1325[＃RPM -150636.1325]
##Rev.per.mile -215349.6757[＃Rev.per.mile -215349.6757]
##Fuel.tank.capacity 1729.4683[＃Fuel.tank.capacity 1729.4683]
##Passengers 339.0954[＃乘客339.0954]
##Length 6945.1613[＃长度6945.1613]
##Wheelbase 3507.5491[＃轴距3507.5491]
##Width 1950.4716[＃宽度1950.4716]
##Turn.circle 1479.3654[＃Turn.circle 1479.3654]
##Weight 347977.8927[＃重量347977.8927]
##$H[＃$ H]
## MPG.city MPG.highway EngineSize Horsepower[的＃MPG.city MPG.highway EngineSize马力]
##MPG.city 11.1644681 9.9885440 -2.07077758 -137.938111[＃MPG.city 11.1644681 9.9885440 -2.07077758 -137.938111]
##MPG.highway 9.9885440 8.9364770 -1.85266802 -123.409453[＃MPG.highway 9.9885440 8.9364770 -1.85266802 -123.409453]
##EngineSize -2.0707776 -1.8526680 0.38408635 25.584662[＃EngineSize -2.0707776 -1.8526680 0.38408635 25.584662]
##Horsepower -137.9381108 -123.4094525 25.58466246 1704.239046[＃马力-137.9381108 -123.4094525 25.58466246 1704.239046]
##RPM 9.8795182 8.8389345 -1.83244599 -122.062428[＃RPM 9.8795182 8.8389345 -1.83244599 -122.062428]
##Rev.per.mile 707.3855707 632.8785101 -131.20537141 -8739.818920[＃Rev.per.mile 707.3855707 632.8785101 -131.20537141 -8739.818920]
##Fuel.tank.capacity -6.7879209 -6.0729671 1.25901874 83.865437[＃Fuel.tank.capacity -6.7879209 -6.0729671 1.25901874 83.865437]
##Passengers -0.2008651 -0.1797085 0.03725632 2.481709[＃乘客-0.2008651 -0.1797085 0.03725632 2.481709]
##Length -24.5727044 -21.9845261 4.55772770 303.598201[＃长度-24.5727044 -21.9845261 4.55772770 303.598201]
##Wheelbase -11.4130722 -10.2109633 2.11688849 141.009639[＃轴距-11.4130722 -10.2109633 2.11688849 141.009639]
##Width -5.7581866 -5.1516920 1.06802435 71.142967[＃宽度-5.7581866 -5.1516920 1.06802435 71.142967]
##Turn.circle -4.2281864 -3.7828426 0.78424099 52.239662[＃Turn.circle -4.2281864 -3.7828426 0.78424099 52.239662]
##Weight -1275.6139645 -1141.2569026 236.59996884 15760.337110[＃重量-1275.6139645 -1141.2569026 236.59996884 15760.337110]
## RPM Rev.per.mile Fuel.tank.capacity Passengers[＃RPM Rev.per.mile的Fuel.tank.capacity系列乘客]
##MPG.city 9.879518 707.38557 -6.7879209 -0.200865141[＃MPG.city 9.879518 707.38557 -6.7879209 -0.200865141]
##MPG.highway 8.838935 632.87851 -6.0729671 -0.179708544[＃MPG.highway 8.838935 632.87851 -6.0729671 -0.179708544]
##EngineSize -1.832446 -131.20537 1.2590187 0.037256323[＃EngineSize -1.832446 -131.20537 1.2590187 0.037256323]
##Horsepower -122.062428 -8739.81892 83.8654369 2.481708752[＃马力-122.062428 -8739.81892 83.8654369 2.481708752]
##RPM 8.742457 625.97059 -6.0066801 -0.177747010[＃RPM 8.742457 625.97059 -6.0066801 -0.177747010]
##Rev.per.mile 625.970586 44820.25860 -430.0856347 -12.726903044[＃Rev.per.mile 625.970586 44820.25860 -430.0856347 -12.726903044]
##Fuel.tank.capacity -6.006680 -430.08563 4.1270099 0.122124645[＃Fuel.tank.capacity -6.006680 -430.08563 4.1270099 0.122124645]
##Passengers -0.177747 -12.72690 0.1221246 0.003613858[＃乘客-0.177747 -12.72690 0.1221246 0.003613858]
##Length -21.744563 -1556.93728 14.9400378 0.442098962[＃长度-21.744563 -1556.93728 14.9400378 0.442098962]
##Wheelbase -10.099510 -723.13724 6.9390706 0.205337894[＃轴距-10.099510 -723.13724 6.9390706 0.205337894]
##Width -5.095461 -364.84122 3.5009384 0.103598215[＃宽度-5.095461 -364.84122 3.5009384 0.103598215]
##Turn.circle -3.741553 -267.89973 2.5707087 0.076071269[＃Turn.circle -3.741553 -267.89973 2.5707087 0.076071269]
##Weight -1128.799984 -80823.45772 775.5646486 22.950164550[＃重量-1128.799984 -80823.45772 775.5646486 22.950164550]
## Length Wheelbase Width Turn.circle[＃长度轴距宽Turn.circle的]
##MPG.city -24.572704 -11.4130722 -5.7581866 -4.22818636[＃MPG.city -24.572704 -11.4130722 -5.7581866 -4.22818636]
##MPG.highway -21.984526 -10.2109633 -5.1516920 -3.78284262[＃MPG.highway -21.984526 -10.2109633 -5.1516920 -3.78284262]
##EngineSize 4.557728 2.1168885 1.0680243 0.78424099[＃EngineSize 4.557728 2.1168885 1.0680243 0.78424099]
##Horsepower 303.598201 141.0096393 71.1429669 52.23966202[＃马力303.598201 141.0096393 71.1429669 52.23966202]
##RPM -21.744563 -10.0995098 -5.0954608 -3.74155256[＃RPM -21.744563 -10.0995098 -5.0954608 -3.74155256]
##Rev.per.mile -1556.937281 -723.1372362 -364.8412174 -267.89973369[＃Rev.per.mile -1556.937281 -723.1372362 -364.8412174 -267.89973369]
##Fuel.tank.capacity 14.940038 6.9390706 3.5009384 2.57070866[＃Fuel.tank.capacity 14.940038 6.9390706 3.5009384 2.57070866]
##Passengers 0.442099 0.2053379 0.1035982 0.07607127[＃乘客0.442099 0.2053379 0.1035982 0.07607127]
##Length 54.083885 25.1198756 12.6736193 9.30612843[＃长度54.083885 25.1198756 12.6736193 9.30612843]
##Wheelbase 25.119876 11.6672121 5.8864067 4.32233724[＃轴距25.119876 11.6672121 5.8864067 4.32233724]
##Width 12.673619 5.8864067 2.9698426 2.18072961[＃宽度12.673619 5.8864067 2.9698426 2.18072961]
##Turn.circle 9.306128 4.3223372 2.1807296 1.60129079[＃Turn.circle 9.306128 4.3223372 2.1807296 1.60129079]
##Weight 2807.593227 1304.0186214 657.9107222 483.09812289[＃重量2807.593227 1304.0186214 657.9107222 483.09812289]
## Weight[＃重量]
##MPG.city -1275.61396[＃MPG.city -1275.61396]
##MPG.highway -1141.25690[＃MPG.highway -1141.25690]
##EngineSize 236.59997[＃EngineSize 236.59997]
##Horsepower 15760.33711[＃马力15760.33711]
##RPM -1128.79998[＃RPM -1128.79998]
##Rev.per.mile -80823.45772[＃Rev.per.mile -80823.45772]
##Fuel.tank.capacity 775.56465[＃Fuel.tank.capacity 775.56465]
##Passengers 22.95016[＃乘客22.95016]
##Length 2807.59323[＃长度2807.59323]
##Wheelbase 1304.01862[＃轴距1304.01862]
##Width 657.91072[＃宽度657.91072]
##Turn.circle 483.09812[＃Turn.circle 483.09812]
##Weight 145747.29199[＃重量145747.29199]
##$r[＃$ R]
##[1] 1[＃[1] 1]
##$call[＃$调用]
##lmHmat.data.frame(x = Cars93[c(7:8, 12:15, 17:22, 25)], y = Cars93[5])[＃lmHmat.data.frame（X = Cars93 [C（7:8，12:15，17:22，25），Y = Cars93 [5]）]
## 2) An example of subset selection in the context of Canonical[＃2）的子集的选择的一个例子的上下文中的Canonical]
## Correlation Analysis. Two groups of variables within the Cars93[＃相关性分析。两组变量内的Cars93]
## MASS library data set are compared. The first group (variables 4th,[＃MASS库中的数据集进行了比较。第一组（变量第四，]
## 5th and 6th) relates to price, while the second group is formed by 13[第5和第6）涉及到价格，而第二组由13]
## variables that describe several technical car specifications. The[＃变量，介绍了几种技术的汽车规格。 “]
## goal is to select subsets of the second group that are optimal in[＃目标是选择所述第二组的子集，是最优的]
## terms of preserving the canonical correlations with the variables in[＃维护中的变量的典型相关条款]
## the first group (Warning: the 3-variable "response" group is kept[＃第一组（注意：保持3个变量的“响应”组]
## intact; subset selection is to be performed only in the 13-variable[＃完好无损;仅在13变量子集的选择是要执行]
## group). [＃组）。]
library(MASS)
data(Cars93)
CarsHmat2 <- lmHmat(Cars93[c(7:8,12:15,17:22,25)],Cars93[4:6])
names(Cars93[4:6])
## [1] "Min.Price" "Price" "Max.Price"[＃[1]“Min.Price”，“价格”，“Max.Price”]
CarsHmat2
##$mat[＃$垫]
## MPG.city MPG.highway EngineSize Horsepower[的＃MPG.city MPG.highway EngineSize马力]
##MPG.city 31.582281 28.283427 -4.1391655 -1.979799e+02[＃MPG.city 31.582281 28.283427 -4.1391655-1.979799e +02]
##MPG.highway 28.283427 28.427302 -3.4667602 -1.728655e+02[＃MPG.highway 28.283427 28.427302 -3.4667602-1.728655e +02]
##EngineSize -4.139165 -3.466760 1.0761220 3.977700e+01[＃EngineSize -4.139165 -3.466760 1.0761220 3.977700e +01]
##Horsepower -197.979897 -172.865475 39.7769986 2.743079e+03[＃马力-197.979897 -172.865475 39.7769986 2.743079e +03]
##RPM 1217.478962 997.335203 -339.1637447 1.146634e+03[＃RPM 1217.478962 997.335203 -339.1637447 1.146634e +03]
##Rev.per.mile 1941.631019 1555.243104 -424.4118163 -1.561070e+04[＃Rev.per.mile 1941.631019 1555.243104 -424.4118163-1.561070e +04]
##Fuel.tank.capacity -14.985799 -13.743654 2.5830820 1.222536e+02[＃Fuel.tank.capacity -14.985799 -13.743654 2.5830820 1.222536e +02]
##Passengers -2.433964 -2.583567 0.4017181 5.040907e-01[＃乘客-2.433964 -2.583567 0.4017181 5.040907e-01]
##Length -54.673329 -42.267765 11.8197055 4.212964e+02[＃长度-54.673329 -42.267765 11.8197055 4.212964e +02]
##Wheelbase -25.567087 -22.375760 5.1819425 1.738928e+02[＃轴距-25.567087，-22.375760 5.1819425 1.738928e +02]
##Width -15.302127 -12.902291 3.3992286 1.275437e+02[＃宽度-15.302127 -12.902291 3.3992286 1.275437e +02]
##Turn.circle -12.071061 -10.202782 2.6029453 9.474252e+01[＃Turn.circle -12.071061 -10.202782 2.6029453 9.474252e +01]
##Weight -2795.094670 -2549.654628 517.1327139 2.282550e+04[＃重量-2795.094670 -2549.654628 517.1327139 2.282550e +04]
## RPM Rev.per.mile Fuel.tank.capacity Passengers[＃RPM Rev.per.mile的Fuel.tank.capacity系列乘客]
##MPG.city 1217.4790 1941.6310 -14.985799 -2.4339645[＃MPG.city 1217.4790 1941.6310 -14.985799 -2.4339645]
##MPG.highway 997.3352 1555.2431 -13.743654 -2.5835671[＃MPG.highway 997.3352 1555 0.2431 -13.743654 -2.5835671]
##EngineSize -339.1637 -424.4118 2.583082 0.4017181[＃EngineSize -339.1637 -424.4118 2.583082 0.4017181]
##Horsepower 1146.6339 -15610.7036 122.253612 0.5040907[＃马力1146.6339 -15610.7036 122.253612 0.5040907]
##RPM 356088.7097 146589.3233 -652.324684 -289.6213184[＃RPM 356088.7097 146589.3233 -652.324684 -289.6213184]
##Rev.per.mile 146589.3233 246518.7295 -992.747020 -172.8003740[＃Rev.per.mile 146589.3233 246518.7295 -992.747020 -172.8003740]
##Fuel.tank.capacity -652.3247 -992.7470 10.754271 1.6085203[＃Fuel.tank.capacity -652.3247 -992.7470 10.754271 1.6085203]
##Passengers -289.6213 -172.8004 1.608520 1.0794764[＃乘客-289.6213 -172.8004 1.608520 1.0794764]
##Length -3844.9158 -5004.3139 33.063850 7.3626695[＃长度-3844.9158 -5004.3139 33.063850 7.3626695]
##Wheelbase -1903.7693 -2156.2932 16.944811 4.9177186[＃轴距-1903.7693 -2156.2932 16.944811 4.9177186]
##Width -1217.0933 -1464.3712 9.898282 1.9237962[＃宽度-1217.0933 -1464.3712 9.898282 1.9237962]
##Turn.circle -972.5806 -1173.3281 7.096283 1.5037401[＃Turn.circle -972.5806 -1173.3281 7.096283 1.5037401]
##Weight -150636.1325 -215349.6757 1729.468268 339.0953717[＃重量-150636.1325 -215349.6757 1729.468268 339.0953717]
## Length Wheelbase Width Turn.circle[＃长度轴距宽Turn.circle的]
##MPG.city -54.67333 -25.567087 -15.302127 -12.071061[＃MPG.city -54.67333 -25.567087 -15.302127 -12.071061]
##MPG.highway -42.26777 -22.375760 -12.902291 -10.202782[＃MPG.highway -42.26777 -22.375760 -12.902291 -10.202782]
##EngineSize 11.81971 5.181942 3.399229 2.602945[＃EngineSize 11.81971 5.181942 3.399229 2.602945]
##Horsepower 421.29640 173.892824 127.543712 94.742520[＃马力421.29640 173.892824 127.543712 94.742520]
##RPM -3844.91585 -1903.769285 -1217.093268 -972.580645[＃RPM -3844.91585 -1903.769285 -1217.093268 -972.580645]
##Rev.per.mile -5004.31393 -2156.293245 -1464.371201 -1173.328074[＃Rev.per.mile -5004.31393 -2156.293245 -1464.371201 -1173.328074]
##Fuel.tank.capacity 33.06385 16.944811 9.898282 7.096283[＃Fuel.tank.capacity 33.06385 16.944811 9.898282 7.096283]
##Passengers 7.36267 4.917719 1.923796 1.503740[＃乘客7.36267 4.917719 1.923796 1.503740]
##Length 213.22955 82.021973 45.367929 34.780622[＃长度213.22955 82.021973 45.367929 34.780622]
##Wheelbase 82.02197 46.507948 20.803062 15.899836[＃轴距82.02197 46.507948 20.803062 15.899836]
##Width 45.36793 20.803062 14.280739 9.962015[＃宽度45.36793 20.803062 14.280739 9.962015]
##Turn.circle 34.78062 15.899836 9.962015 10.389434[＃Turn.circle 34.78062 15.899836 9.962015 10.389434]
##Weight 6945.16129 3507.549088 1950.471599 1479.365358[＃重量6945.16129 3507.549088 1950.471599 1479.365358]
## Weight[＃重量]
##MPG.city -2795.0947[＃MPG.city -2795.0947]
##MPG.highway -2549.6546[＃MPG.highway -2549.6546]
##EngineSize 517.1327[＃EngineSize 517.1327]
##Horsepower 22825.5049[＃马力22825.5049]
##RPM -150636.1325[＃RPM -150636.1325]
##Rev.per.mile -215349.6757[＃Rev.per.mile -215349.6757]
##Fuel.tank.capacity 1729.4683[＃Fuel.tank.capacity 1729.4683]
##Passengers 339.0954[＃乘客339.0954]
##Length 6945.1613[＃长度6945.1613]
##Wheelbase 3507.5491[＃轴距3507.5491]
##Width 1950.4716[＃宽度1950.4716]
##Turn.circle 1479.3654[＃Turn.circle 1479.3654]
##Weight 347977.8927[＃重量347977.8927]
##$H[＃$ H]
## MPG.city MPG.highway EngineSize Horsepower[的＃MPG.city MPG.highway EngineSize马力]
##MPG.city 12.6374638 11.1802504 -2.44856549 -149.055525[＃MPG.city 12.6374638 11.1802504 -2.44856549 -149.055525]
##MPG.highway 11.1802504 9.9241995 -2.15551417 -132.381671[＃MPG.highway 11.1802504 9.9241995 -2.15551417 -132.381671]
##EngineSize -2.4485655 -2.1555142 0.48131168 28.438641[＃EngineSize -2.4485655 -2.1555142 0.48131168 28.438641]
##Horsepower -149.0555255 -132.3816709 28.43864077 1788.168412[＃马力-149.0555255 -132.3816709 28.43864077 1788.168412]
##RPM 116.9463468 90.2758380 -29.90735790 -935.019669[＃RPM 116.9463468 90.2758380 -29.90735790 -935.019669]
##Rev.per.mile 850.6791690 744.7148717 -168.44221351 -9825.172173[＃Rev.per.mile 850.6791690 744.7148717 -168.44221351 -9825.172173]
##Fuel.tank.capacity -7.3863845 -6.5473387 1.41367337 88.391549[＃Fuel.tank.capacity -7.3863845 -6.5473387 1.41367337 88.391549]
##Passengers -0.2756475 -0.2507147 0.05519028 3.036255[＃乘客-0.2756475 -0.2507147 0.05519028 3.036255]
##Length -29.0878749 -25.4205633 5.74148535 337.880225[＃长度-29.0878749 -25.4205633 5.74148535 337.880225]
##Wheelbase -12.4579187 -11.0208656 2.38906697 148.928887[＃轴距-12.4579187 -11.0208656 2.38906697 148.928887]
##Width -6.8768553 -6.0641799 1.35405290 79.579106[＃宽度-6.8768553 -6.0641799 1.35405290 79.579106]
##Turn.circle -4.9652258 -4.3460777 0.97719452 57.833523[＃Turn.circle -4.9652258 -4.3460777 0.97719452 57.833523]
##Weight -1399.0819460 -1239.6883974 268.43952022 16693.580681[＃重量-1399.0819460 -1239.6883974 268.43952022 16693.580681]
## RPM Rev.per.mile Fuel.tank.capacity Passengers[＃RPM Rev.per.mile的Fuel.tank.capacity系列乘客]
##MPG.city 116.946347 850.67917 -7.3863845 -0.27564745[＃MPG.city 116.946347 850.67917 -7.3863845 -0.27564745]
##MPG.highway 90.275838 744.71487 -6.5473387 -0.25071469[＃MPG.highway 90.275838 744.71487 -6.5473387 -0.25071469]
##EngineSize -29.907358 -168.44221 1.4136734 0.05519028[＃EngineSize -29.907358 -168.44221 1.4136734 0.05519028]
##Horsepower -935.019669 -9825.17217 88.3915487 3.03625516[＃马力-935.019669 -9825.17217 88.3915487 3.03625516]
##RPM 8930.289631 11941.01945 -51.6620352 -3.30491485[＃RPM 8930.289631 11941.01945 -51.6620352 -3.30491485]
##Rev.per.mile 11941.019450 59470.19917 -490.0061258 -18.17896445[＃Rev.per.mile 11941.019450 59470.19917 -490.0061258 -18.17896445]
##Fuel.tank.capacity -51.662035 -490.00613 4.3742368 0.14814085[＃Fuel.tank.capacity -51.662035 -490.00613 4.3742368 0.14814085]
##Passengers -3.304915 -18.17896 0.1481409 0.01208827[＃乘客-3.304915 -18.17896 0.1481409 0.01208827]
##Length -397.601848 -2033.81167 16.8646785 0.57474210[＃长度-397.601848 -2033.81167 16.8646785 0.57474210]
##Wheelbase -93.828737 -830.92582 7.3783050 0.24261242[＃轴距-93.828737 -830.92582 7.3783050 0.24261242]
##Width -84.771418 -472.37388 3.9523474 0.16370704[＃宽度-84.771418 -472.37388 3.9523474 0.16370704]
##Turn.circle -64.578815 -345.33527 2.8839031 0.09876958[＃Turn.circle -64.578815 -345.33527 2.8839031 0.09876958]
##Weight -10423.776629 -93087.56026 826.3348263 28.56899347[＃重量-10423.776629 -93087.56026 826.3348263 28.56899347]
## Length Wheelbase Width Turn.circle[＃长度轴距宽Turn.circle的]
##MPG.city -29.0878749 -12.4579187 -6.8768553 -4.96522585[＃MPG.city -29.0878749 -12.4579187 -6.8768553 -4.96522585]
##MPG.highway -25.4205633 -11.0208656 -6.0641799 -4.34607767[＃MPG.highway -25.4205633 -11.0208656 -6.0641799 -4.34607767]
##EngineSize 5.7414854 2.3890670 1.3540529 0.97719452[＃EngineSize 5.7414854 2.3890670 1.3540529 0.97719452]
##Horsepower 337.8802249 148.9288871 79.5791065 57.83352310[＃马力337.8802249 148.9288871 79.5791065 57.83352310]
##RPM -397.6018484 -93.8287370 -84.7714184 -64.57881537[＃RPM -397.6018484 -93.8287370 -84.7714184 -64.57881537]
##Rev.per.mile -2033.8116669 -830.9258201 -472.3738765 -345.33527111[＃Rev.per.mile -2033.8116669 -830.9258201 -472.3738765 -345.33527111]
##Fuel.tank.capacity 16.8646785 7.3783050 3.9523474 2.88390313[＃Fuel.tank.capacity 16.8646785 7.3783050 3.9523474 2.88390313]
##Passengers 0.5747421 0.2426124 0.1637070 0.09876958[＃乘客0.5747421 0.2426124 0.1637070 0.09876958]
##Length 69.9185456 28.6482825 16.0342179 11.86931842[＃长度69.9185456 28.6482825 16.0342179 11.86931842]
##Wheelbase 28.6482825 12.4615297 6.6687394 4.89477408[＃轴距28.6482825 12.4615297 6.6687394 4.89477408]
##Width 16.0342179 6.6687394 3.8217667 2.73004255[＃宽度16.0342179 6.6687394 3.8217667 2.73004255]
##Turn.circle 11.8693184 4.8947741 2.7300425 2.01640426[＃Turn.circle 11.8693184 4.8947741 2.7300425 2.01640426]
##Weight 3199.4701647 1393.7884808 751.2183342 546.92139008[＃重量3199.4701647 1393.7884808 751.2183342 546.92139008]
## Weight[＃重量]
##MPG.city -1399.08195[＃MPG.city -1399.08195]
##MPG.highway -1239.68840[＃MPG.highway -1239.68840]
##EngineSize 268.43952[＃EngineSize 268.43952]
##Horsepower 16693.58068[＃马力16693.58068]
##RPM -10423.77663[＃RPM -10423.77663]
##Rev.per.mile -93087.56026[＃Rev.per.mile -93087.56026]
##Fuel.tank.capacity 826.33483[＃Fuel.tank.capacity 826.33483]
##Passengers 28.56899[＃乘客28.56899]
##Length 3199.47016[＃长度3199.47016]
##Wheelbase 1393.78848[＃轴距1393.78848]
##Width 751.21833[＃宽度751.21833]
##Turn.circle 546.92139[＃Turn.circle 546.92139]
##Weight 156186.68328[＃重量156186.68328]
##$r[＃$ R]
##[1] 3[＃[1]]
##$call[＃$调用]
##lmHmat.data.frame(x = Cars93[c(7:8, 12:15, 17:22, 25)], y = Cars93[4:6])[：＃lmHmat.data.frame（X = Cars93 [C（7:8，12:15，17:22，25），Y = Cars93 [4:6]）]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 18:16:04
