(This article was first published on NIR-Quimiometría, and kindly contributed to R-bloggers)
Ver primero: IRIS Flower Data Set (R-001)
See first: IRIS Flower Data Set (R-001)
El comando "summary" nos ayuda a comprender la importancia de cada componente principal:
Los "eigenvalues" son las desviaciones estándar al cuadrado:
Para comprobar la importancia de los eigenvalues, podemos verlos en forma de gráfico:
> lambda<-eigenvalues
> PCs<-c(1,2,3,4)
> plot(PCs,lambda)
save.image("H:\\BLOG\\Curso básico Quimiometria\\IRIS\\parte2.RData")
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