predict.TRMF | R Documentation |

Predict values based on the TRMF fit

```
## S3 method for class 'TRMF'
predict(object,newdata=NULL, ...)
```

`object` |
A trained TRMF object |

`newdata` |
A list with slot |

`...` |
other arguments, ignored. |

If newdata is NULL, returns fitted model. If newdata doesn't have the term `Xm`

or if it has a different
number of columns than the number of latent time series, it will throw an error. If the object also contains
a global regression, `gXreg`

must be present and appropriately sized. If the object also contains
a column-wise regression, `cXreg`

must be present and appropriately sized.

Returns a matrix of predictions.

Chad Hammerquist

`create_TRMF`

, `TRMF_columns`

, `TRMF_trend`

,`train.TRMF`

```
xm = poly(x = (-10:10)/10,degree=4)
fm = matrix(runif(40),4,10)
Am = xm%*%fm+rnorm(210,0,.2)
# create model
obj = create_TRMF(Am)
out = train(obj)
fitted(out)
newXm = 1:5
predict(out,newdata=list(Xm=newXm))
```

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