我试图使用线性回归预测该值。我编写了代码但是，它为预测函数抛出了0.0。此外，lm（）返回多个系数对，它应该只返回一对系数。
请帮我解决。
下面是代码：
import org.rosuda.JRI.REXP;
import org.rosuda.JRI.Rengine;
public class Prediction {
public static void main(String[] agrs){
String readCsv = "read.csv(\"myDatanew.csv\",stringsAsFactors=FALSE, sep=\",\")";
Rengine engine = new Rengine(new String[] { "--no-save" }, false, null);
engine.eval("myData="+ readCsv);
engine.eval("y=myData$DELTA");
System.out.println(engine.eval("y"));
engine.eval("x=myData$KM");
System.out.println(engine.eval("x"));
engine.eval("model= lm(y ~ x)");
System.out.println(engine.eval("model"));
//engine.eval("predict.list = predict(model, newdata = data.frame(x =c(100)), se.fit = TRUE");
REXP result = engine.eval("predict(model, newdata = data.frame(x =c(100)), se.fit = TRUE");
System.out.println(result.asDouble());
}
}
输出：
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0.0