Question

R语言实现一个回归

除了OLS方法以外，比较简单的方法实现一个回归分析，求大致的步骤，就是应该有哪些内容。

Answer 1

x<-c(1,2,3)
y<-c(3,4,5)
a<-data.frame(x,y)
a_lm<-lm(y~x,data=a)
> summary(a_lm)

Call:
lm(formula = y ~ x, data = a)

Residuals:
1 2 3
-7.020e-17 1.404e-16 -7.020e-17

Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.000e+00 2.627e-16 7.614e+15 <2e-16 ***
x 1.000e+00 1.216e-16 8.224e+15 <2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 1.72e-16 on 1 degrees of freedom
Multiple R-squared: 1, Adjusted R-squared: 1
F-statistic: 6.764e+31 on 1 and 1 DF, p-value: < 2.2e-16