R中的线性回归：变量的类型（列表）无效？

当我这样做的时候

Error in model.frame.default(formula = X.labels ~ X.training, drop.unused.levels = TRUE) :
  invalid type (list) for variable 'X.labels'

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xlm您只需要将一个依赖变量传递给lm。如果您想要每个c的模型，可以执行以下操作：

xlm <- lm(X.labels ~ X.training)

你不能像那样在公式中传递data.frames。你想要类似于lm（cbind（c1，c2，c3）~，X）

的东西吗？或者可以显式转换为矩阵：

xlm
xlm <- lm(X.labels ~ X.training)

xlm <- apply(X.labels,2,function(xl)lm(xl ~.,data= X.training))
xlm

> xlm
$c1

Call:
lm(formula = xl ~ ., data = X.training)

Coefficients:
(Intercept)           A1           A2           A3           A4           A5  
   0.050096     0.002525    -0.009387     0.003754    -0.009197    -0.001056  
         A6  
   0.017881  


$c2

Call:
lm(formula = xl ~ ., data = X.training)

Coefficients:
(Intercept)           A1           A2           A3           A4           A5  
  0.0266587    0.0066861   -0.0007149   -0.0183789    0.0140998    0.0160385  
         A6  
 -0.0152220  


$c3

Call:
lm(formula = xl ~ ., data = X.training)

Coefficients:
(Intercept)           A1           A2           A3           A4           A5  
  -0.077624     0.001679     0.007541     0.006682     0.002210    -0.005104  
         A6  
  -0.002375