R s中的错误（V1，df=3）：找不到函数；s"；

我试图在数据集上计算模型的预测，但我发现由库caret

model生成的模型有一个错误。如果您包含一个简单的示例输入和所需的输出，可以用来测试和验证可能的解决方案，那么可以更容易地帮助您。数据图片没有多大帮助，因为我们无法复制/粘贴数据。
库（gam）
？您好，很抱歉没有复制，实际上它创建了一个库（gam）。我不明白，我想在执行库（插入符号）时，它将加载库，安装一定出了问题。
> model$modelInfo$label
[1] "Generalized Additive Model using Splines"
> model$modelInfo$library
[1] "gam"


> pred <- predict(object = model, newdata = newData)

 Error in s(V1, df = 3) : could not find function "s" 

12. eval(predvars, data, env) 
11. eval(predvars, data, env) 
10. model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) 
9. model.frame(Terms, newdata, na.action = na.action, xlev = object$xlevels) 
8. predict.lm(object, newdata, se.fit, scale = 1, type = ifelse(type == 
    "link", "response", type), terms = terms, na.action = na.action) 
7. predict.glm(object, newdata, type = local.type, dispersion = dispersion, 
    se.fit = FALSE, terms = terms) 
6. newdata.predict.Gam(object, newdata, type, dispersion, se.fit, 
    na.action, terms, ...) 
5. gam:::predict.Gam(modelFit, newdata, type = "response") at gamSpline.R#42
4. method$predict(modelFit = modelFit, newdata = newdata, submodels = param) 
3. predictionFunction(method = object$modelInfo, modelFit = object$finalModel, 
    newdata = newdata, preProc = object$preProcess) 
2. predict.train(object = model, newdata = newData) 
1. predict(object = model, newdata = newData)