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    2. (Degree 0 is also allowed, but see the \sQuote{Note}.)}
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    2. (Degree 0 is also allowed, but see the \sQuote{Note}.)}
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  \item{parametric}{should any terms be fitted globally rather than
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  \item{parametric}{should any terms be fitted globally rather than
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    locally?  Terms can be specified by name, number or as a logical
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    locally?  Terms can be specified by name, number or as a logical
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    vector of the same length as the number of predictors.}
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    vector of the same length as the number of predictors.}
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  \item{drop.square}{for fits with more than one predictor and
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  \item{drop.square}{for fits with more than one predictor and
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    \code{degree=2}, should the quadratic term be dropped for particular
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    \code{degree = 2}, should the quadratic term be dropped for particular
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    predictors?  Terms are specified in the same way as for
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    predictors?  Terms are specified in the same way as for
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    \code{parametric}.}
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    \code{parametric}.}
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  \item{normalize}{should the predictors be normalized to a common scale
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  \item{normalize}{should the predictors be normalized to a common scale
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    if there is more than one?  The normalization used is to set the
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    if there is more than one?  The normalization used is to set the
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    10\% trimmed standard deviation to one.  Set to false for spatial
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    10\% trimmed standard deviation to one.  Set to false for spatial